From f9fa7a550c081c8a68b059d26d223331dcc0ac4c Mon Sep 17 00:00:00 2001 From: Chris Kroenke Date: Sat, 23 Sep 2023 17:33:47 -0400 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 1 + setup.html => 00_setup.html | 38 +- 01_first_runs.html | 1194 +++++++++++++++++ 02_nbdev.html | 520 +++++++ .../figure-html/66b3e06d-1-image.png | Bin 0 -> 264521 bytes blog/index.html | 426 ++++++ blog/index.xml | 15 + .../posts/2023-09-24-my-first-post/index.html | 103 +- index.html | 43 +- listings.json | 8 + search.json | 108 +- site_libs/bootstrap/bootstrap.min.css | 2 +- site_libs/quarto-listing/list.min.js | 2 + site_libs/quarto-listing/quarto-listing.js | 243 ++++ sitemap.xml | 20 +- 15 files changed, 2530 insertions(+), 193 deletions(-) rename setup.html => 00_setup.html (95%) create mode 100644 01_first_runs.html create mode 100644 02_nbdev.html create mode 100644 02_nbdev_files/figure-html/66b3e06d-1-image.png create mode 100644 blog/index.html create mode 100644 blog/index.xml rename first_runs.html => blog/posts/2023-09-24-my-first-post/index.html (76%) create mode 100644 listings.json create mode 100644 site_libs/quarto-listing/list.min.js create mode 100644 site_libs/quarto-listing/quarto-listing.js diff --git a/.nojekyll b/.nojekyll index e69de29..e21e369 100644 --- a/.nojekyll +++ b/.nojekyll @@ -0,0 +1 @@ +5a4ce1ad \ No newline at end of file diff --git a/setup.html b/00_setup.html similarity index 95% rename from setup.html rename to 00_setup.html index c2a16f9..41fdbff 100644 --- a/setup.html +++ b/00_setup.html @@ -6,7 +6,6 @@ - Fractal-LLM-Course - Environment setups + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + +
+ +
+ + +
+ + + +
+ +
+
+

Run a Large Language Model using the HuggingFace Transformers API.

+
+ + + +
+ + + + +
+ + +
+ +

The cells below are good defaults for development.

+

The autoreload lines help load libraries on the fly, while they are changing. This works well with the editable install we created via pip install -e .
+This means we can edit the source code directly and have the change reflected live in the notebook.

+
+
%load_ext autoreload
+%autoreload 2
+%matplotlib inline
+
+
+

Introduction

+

Imagine we have a list of product review from our users. Now we want to find out whether those reviews were good or bad. It will take a lot of effort to manually go through and check each one. But, using an LLM, we can automatically get a label for a given product review.

+

How would this be useful? We could use it to find the more negative reviews to see where our product needs improving. Or, we can look at the more positive ones to see what we’re doing right.

+

The broader task in NLP of figuring out a statement’s tone is called Sentiment Analysis.

+
+

First, a Pipeline

+

A HuggingFace model is based on 3 key pieces: 1. Config file.
+2. Preprocessor file.
+3. Model file.

+

The HuggingFace API gives us a way of automatically using these pieces directly: the pipeline.

+

Let’s get right it and create a Sentiment Analysis pipeline.

+
+
# load in the pipeline object from huggingface
+from transformers import pipeline
+
+# create the sentiment analysis pipeline
+classifier = pipeline("sentiment-analysis")
+
+
/Users/cck/mambaforge/envs/llm_base/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+  from .autonotebook import tqdm as notebook_tqdm
+No model was supplied, defaulted to distilbert-base-uncased-finetuned-sst-2-english and revision af0f99b (https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english).
+Using a pipeline without specifying a model name and revision in production is not recommended.
+Downloading (…)lve/main/config.json: 100%|██████████| 629/629 [00:00<00:00, 1.06MB/s]
+Downloading model.safetensors: 100%|██████████| 268M/268M [00:34<00:00, 7.76MB/s] 
+Downloading (…)okenizer_config.json: 100%|██████████| 48.0/48.0 [00:00<00:00, 432kB/s]
+Downloading (…)solve/main/vocab.txt: 100%|██████████| 232k/232k [00:00<00:00, 9.00MB/s]
+
+
+

We can see in the output message above that HuggingFace automatically picked a decent, default model for us since we didn’t specify one. Specifically, it chose a distilbert model.

+

We will learn more about what exactly distilbert is and how it works later on. For now, think of it as a useful NLP genie who can tell us how it feels about a given sentence.

+
+
# example from the HuggingFace tutorial
+classifier("We are very happy to show you the 🤗 Transformers library.")
+
+
[{'label': 'POSITIVE', 'score': 0.9997795224189758}]
+
+
+
+
# passing in several sentences at once, inside a python list
+results = classifier([
+    "We are very happy to show you the 🤗 Transformers library.",
+    "We hope you don't hate it.",
+    "I love Fractal! I'm so glad it's not a cult!", 
+])
+
+# print the output of each results
+for result in results:
+    print(f"label: {result['label']}, with score: {round(result['score'], 4)}")
+
+
label: POSITIVE, with score: 0.9998
+label: NEGATIVE, with score: 0.5309
+label: POSITIVE, with score: 0.999
+
+
+
+
+
+

Inspecting the classifier, notebook style.

+

What is the classifier, exactly?

+
+
classifier
+
+
<transformers.pipelines.text_classification.TextClassificationPipeline>
+
+
+
+
## showing the lookup's auto-complete
+# classifier.
+
+
+
## viewing all of a class' methods and properties
+dir(classifier)
+
+
['__abstractmethods__',
+ '__call__',
+ '__class__',
+ '__delattr__',
+ '__dict__',
+ '__dir__',
+ '__doc__',
+ '__eq__',
+ '__format__',
+ '__ge__',
+ '__getattribute__',
+ '__getstate__',
+ '__gt__',
+ '__hash__',
+ '__init__',
+ '__init_subclass__',
+ '__le__',
+ '__lt__',
+ '__module__',
+ '__ne__',
+ '__new__',
+ '__reduce__',
+ '__reduce_ex__',
+ '__repr__',
+ '__setattr__',
+ '__sizeof__',
+ '__slots__',
+ '__str__',
+ '__subclasshook__',
+ '__weakref__',
+ '_abc_impl',
+ '_batch_size',
+ '_ensure_tensor_on_device',
+ '_forward',
+ '_forward_params',
+ '_num_workers',
+ '_postprocess_params',
+ '_preprocess_params',
+ '_sanitize_parameters',
+ 'binary_output',
+ 'call_count',
+ 'check_model_type',
+ 'default_input_names',
+ 'device',
+ 'device_placement',
+ 'ensure_tensor_on_device',
+ 'feature_extractor',
+ 'forward',
+ 'framework',
+ 'function_to_apply',
+ 'get_inference_context',
+ 'get_iterator',
+ 'image_processor',
+ 'iterate',
+ 'model',
+ 'modelcard',
+ 'postprocess',
+ 'predict',
+ 'preprocess',
+ 'return_all_scores',
+ 'run_multi',
+ 'run_single',
+ 'save_pretrained',
+ 'task',
+ 'tokenizer',
+ 'torch_dtype',
+ 'transform']
+
+
+

Jupyter notebooks have powerful ways of inspecting and analyzing the code, as we’re running it.

+
+
## refresher
+classifier
+
+
<transformers.pipelines.text_classification.TextClassificationPipeline>
+
+
+
+
## the power of asking questions
+# classifier? # help(classifier)
+
+
Signature:      classifier(*args, **kwargs)
+Type:           TextClassificationPipeline
+String form:    <transformers.pipelines.text_classification.TextClassificationPipeline object>
+File:           ~/mambaforge/envs/llm_base/lib/python3.11/site-packages/transformers/pipelines/text_classification.py
+Docstring:     
+Text classification pipeline using any `ModelForSequenceClassification`. See the [sequence classification
+examples](../task_summary#sequence-classification) for more information.
+
+Example:
+
+```python
+>>> from transformers import pipeline
+
+>>> classifier = pipeline(model="distilbert-base-uncased-finetuned-sst-2-english")
+>>> classifier("This movie is disgustingly good !")
+[{'label': 'POSITIVE', 'score': 1.0}]
+
+>>> classifier("Director tried too much.")
+[{'label': 'NEGATIVE', 'score': 0.996}]
+```
+
+Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
+
+This text classification pipeline can currently be loaded from [`pipeline`] using the following task identifier:
+`"sentiment-analysis"` (for classifying sequences according to positive or negative sentiments).
+
+If multiple classification labels are available (`model.config.num_labels >= 2`), the pipeline will run a softmax
+over the results. If there is a single label, the pipeline will run a sigmoid over the result.
+
+The models that this pipeline can use are models that have been fine-tuned on a sequence classification task. See
+the up-to-date list of available models on
+[huggingface.co/models](https://huggingface.co/models?filter=text-classification).
+
+Arguments:
+    model ([`PreTrainedModel`] or [`TFPreTrainedModel`]):
+        The model that will be used by the pipeline to make predictions. This needs to be a model inheriting from
+        [`PreTrainedModel`] for PyTorch and [`TFPreTrainedModel`] for TensorFlow.
+    tokenizer ([`PreTrainedTokenizer`]):
+        The tokenizer that will be used by the pipeline to encode data for the model. This object inherits from
+        [`PreTrainedTokenizer`].
+    modelcard (`str` or [`ModelCard`], *optional*):
+        Model card attributed to the model for this pipeline.
+    framework (`str`, *optional*):
+        The framework to use, either `"pt"` for PyTorch or `"tf"` for TensorFlow. The specified framework must be
+        installed.
+
+        If no framework is specified, will default to the one currently installed. If no framework is specified and
+        both frameworks are installed, will default to the framework of the `model`, or to PyTorch if no model is
+        provided.
+    task (`str`, defaults to `""`):
+        A task-identifier for the pipeline.
+    num_workers (`int`, *optional*, defaults to 8):
+        When the pipeline will use *DataLoader* (when passing a dataset, on GPU for a Pytorch model), the number of
+        workers to be used.
+    batch_size (`int`, *optional*, defaults to 1):
+        When the pipeline will use *DataLoader* (when passing a dataset, on GPU for a Pytorch model), the size of
+        the batch to use, for inference this is not always beneficial, please read [Batching with
+        pipelines](https://huggingface.co/transformers/main_classes/pipelines.html#pipeline-batching) .
+    args_parser ([`~pipelines.ArgumentHandler`], *optional*):
+        Reference to the object in charge of parsing supplied pipeline parameters.
+    device (`int`, *optional*, defaults to -1):
+        Device ordinal for CPU/GPU supports. Setting this to -1 will leverage CPU, a positive will run the model on
+        the associated CUDA device id. You can pass native `torch.device` or a `str` too.
+    binary_output (`bool`, *optional*, defaults to `False`):
+        Flag indicating if the output the pipeline should happen in a binary format (i.e., pickle) or as raw text.
+
+    return_all_scores (`bool`, *optional*, defaults to `False`):
+        Whether to return all prediction scores or just the one of the predicted class.
+    function_to_apply (`str`, *optional*, defaults to `"default"`):
+        The function to apply to the model outputs in order to retrieve the scores. Accepts four different values:
+
+        - `"default"`: if the model has a single label, will apply the sigmoid function on the output. If the model
+          has several labels, will apply the softmax function on the output.
+        - `"sigmoid"`: Applies the sigmoid function on the output.
+        - `"softmax"`: Applies the softmax function on the output.
+        - `"none"`: Does not apply any function on the output.
+Call docstring:
+Classify the text(s) given as inputs.
+
+Args:
+    args (`str` or `List[str]` or `Dict[str]`, or `List[Dict[str]]`):
+        One or several texts to classify. In order to use text pairs for your classification, you can send a
+        dictionary containing `{"text", "text_pair"}` keys, or a list of those.
+    top_k (`int`, *optional*, defaults to `1`):
+        How many results to return.
+    function_to_apply (`str`, *optional*, defaults to `"default"`):
+        The function to apply to the model outputs in order to retrieve the scores. Accepts four different
+        values:
+
+        If this argument is not specified, then it will apply the following functions according to the number
+        of labels:
+
+        - If the model has a single label, will apply the sigmoid function on the output.
+        - If the model has several labels, will apply the softmax function on the output.
+
+        Possible values are:
+
+        - `"sigmoid"`: Applies the sigmoid function on the output.
+        - `"softmax"`: Applies the softmax function on the output.
+        - `"none"`: Does not apply any function on the output.
+
+Return:
+    A list or a list of list of `dict`: Each result comes as list of dictionaries with the following keys:
+
+    - **label** (`str`) -- The label predicted.
+    - **score** (`float`) -- The corresponding probability.
+
+    If `top_k` is used, one such dictionary is returned per label.
+
+
+
+
## again, with feeling
+# classifier?? # ?? shows you the source code of the object
+
+
Signature:      classifier(*args, **kwargs)
+Type:           TextClassificationPipeline
+String form:    <transformers.pipelines.text_classification.TextClassificationPipeline object>
+File:           ~/mambaforge/envs/llm_base/lib/python3.11/site-packages/transformers/pipelines/text_classification.py
+Source:        
+@add_end_docstrings(
+    PIPELINE_INIT_ARGS,
+    r"""
+        return_all_scores (`bool`, *optional*, defaults to `False`):
+            Whether to return all prediction scores or just the one of the predicted class.
+        function_to_apply (`str`, *optional*, defaults to `"default"`):
+            The function to apply to the model outputs in order to retrieve the scores. Accepts four different values:
+
+            - `"default"`: if the model has a single label, will apply the sigmoid function on the output. If the model
+              has several labels, will apply the softmax function on the output.
+            - `"sigmoid"`: Applies the sigmoid function on the output.
+            - `"softmax"`: Applies the softmax function on the output.
+            - `"none"`: Does not apply any function on the output.
+    """,
+)
+class TextClassificationPipeline(Pipeline):
+    """
+    Text classification pipeline using any `ModelForSequenceClassification`. See the [sequence classification
+    examples](../task_summary#sequence-classification) for more information.
+
+    Example:
+
+    ```python
+    >>> from transformers import pipeline
+
+    >>> classifier = pipeline(model="distilbert-base-uncased-finetuned-sst-2-english")
+    >>> classifier("This movie is disgustingly good !")
+    [{'label': 'POSITIVE', 'score': 1.0}]
+
+    >>> classifier("Director tried too much.")
+    [{'label': 'NEGATIVE', 'score': 0.996}]
+    ```
+
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
+
+    This text classification pipeline can currently be loaded from [`pipeline`] using the following task identifier:
+    `"sentiment-analysis"` (for classifying sequences according to positive or negative sentiments).
+
+    If multiple classification labels are available (`model.config.num_labels >= 2`), the pipeline will run a softmax
+    over the results. If there is a single label, the pipeline will run a sigmoid over the result.
+
+    The models that this pipeline can use are models that have been fine-tuned on a sequence classification task. See
+    the up-to-date list of available models on
+    [huggingface.co/models](https://huggingface.co/models?filter=text-classification).
+    """
+
+    return_all_scores = False
+    function_to_apply = ClassificationFunction.NONE
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+        self.check_model_type(
+            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES
+            if self.framework == "tf"
+            else MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES
+        )
+
+    def _sanitize_parameters(self, return_all_scores=None, function_to_apply=None, top_k="", **tokenizer_kwargs):
+        # Using "" as default argument because we're going to use `top_k=None` in user code to declare
+        # "No top_k"
+        preprocess_params = tokenizer_kwargs
+
+        postprocess_params = {}
+        if hasattr(self.model.config, "return_all_scores") and return_all_scores is None:
+            return_all_scores = self.model.config.return_all_scores
+
+        if isinstance(top_k, int) or top_k is None:
+            postprocess_params["top_k"] = top_k
+            postprocess_params["_legacy"] = False
+        elif return_all_scores is not None:
+            warnings.warn(
+                "`return_all_scores` is now deprecated,  if want a similar functionality use `top_k=None` instead of"
+                " `return_all_scores=True` or `top_k=1` instead of `return_all_scores=False`.",
+                UserWarning,
+            )
+            if return_all_scores:
+                postprocess_params["top_k"] = None
+            else:
+                postprocess_params["top_k"] = 1
+
+        if isinstance(function_to_apply, str):
+            function_to_apply = ClassificationFunction[function_to_apply.upper()]
+
+        if function_to_apply is not None:
+            postprocess_params["function_to_apply"] = function_to_apply
+        return preprocess_params, {}, postprocess_params
+
+    def __call__(self, *args, **kwargs):
+        """
+        Classify the text(s) given as inputs.
+
+        Args:
+            args (`str` or `List[str]` or `Dict[str]`, or `List[Dict[str]]`):
+                One or several texts to classify. In order to use text pairs for your classification, you can send a
+                dictionary containing `{"text", "text_pair"}` keys, or a list of those.
+            top_k (`int`, *optional*, defaults to `1`):
+                How many results to return.
+            function_to_apply (`str`, *optional*, defaults to `"default"`):
+                The function to apply to the model outputs in order to retrieve the scores. Accepts four different
+                values:
+
+                If this argument is not specified, then it will apply the following functions according to the number
+                of labels:
+
+                - If the model has a single label, will apply the sigmoid function on the output.
+                - If the model has several labels, will apply the softmax function on the output.
+
+                Possible values are:
+
+                - `"sigmoid"`: Applies the sigmoid function on the output.
+                - `"softmax"`: Applies the softmax function on the output.
+                - `"none"`: Does not apply any function on the output.
+
+        Return:
+            A list or a list of list of `dict`: Each result comes as list of dictionaries with the following keys:
+
+            - **label** (`str`) -- The label predicted.
+            - **score** (`float`) -- The corresponding probability.
+
+            If `top_k` is used, one such dictionary is returned per label.
+        """
+        result = super().__call__(*args, **kwargs)
+        # TODO try and retrieve it in a nicer way from _sanitize_parameters.
+        _legacy = "top_k" not in kwargs
+        if isinstance(args[0], str) and _legacy:
+            # This pipeline is odd, and return a list when single item is run
+            return [result]
+        else:
+            return result
+
+    def preprocess(self, inputs, **tokenizer_kwargs) -> Dict[str, GenericTensor]:
+        return_tensors = self.framework
+        if isinstance(inputs, dict):
+            return self.tokenizer(**inputs, return_tensors=return_tensors, **tokenizer_kwargs)
+        elif isinstance(inputs, list) and len(inputs) == 1 and isinstance(inputs[0], list) and len(inputs[0]) == 2:
+            # It used to be valid to use a list of list of list for text pairs, keeping this path for BC
+            return self.tokenizer(
+                text=inputs[0][0], text_pair=inputs[0][1], return_tensors=return_tensors, **tokenizer_kwargs
+            )
+        elif isinstance(inputs, list):
+            # This is likely an invalid usage of the pipeline attempting to pass text pairs.
+            raise ValueError(
+                "The pipeline received invalid inputs, if you are trying to send text pairs, you can try to send a"
+                ' dictionary `{"text": "My text", "text_pair": "My pair"}` in order to send a text pair.'
+            )
+        return self.tokenizer(inputs, return_tensors=return_tensors, **tokenizer_kwargs)
+
+    def _forward(self, model_inputs):
+        # `XXXForSequenceClassification` models should not use `use_cache=True` even if it's supported
+        model_forward = self.model.forward if self.framework == "pt" else self.model.call
+        if "use_cache" in inspect.signature(model_forward).parameters.keys():
+            model_inputs["use_cache"] = False
+        return self.model(**model_inputs)
+
+    def postprocess(self, model_outputs, function_to_apply=None, top_k=1, _legacy=True):
+        # `_legacy` is used to determine if we're running the naked pipeline and in backward
+        # compatibility mode, or if running the pipeline with `pipeline(..., top_k=1)` we're running
+        # the more natural result containing the list.
+        # Default value before `set_parameters`
+        if function_to_apply is None:
+            if self.model.config.problem_type == "multi_label_classification" or self.model.config.num_labels == 1:
+                function_to_apply = ClassificationFunction.SIGMOID
+            elif self.model.config.problem_type == "single_label_classification" or self.model.config.num_labels > 1:
+                function_to_apply = ClassificationFunction.SOFTMAX
+            elif hasattr(self.model.config, "function_to_apply") and function_to_apply is None:
+                function_to_apply = self.model.config.function_to_apply
+            else:
+                function_to_apply = ClassificationFunction.NONE
+
+        outputs = model_outputs["logits"][0]
+        outputs = outputs.numpy()
+
+        if function_to_apply == ClassificationFunction.SIGMOID:
+            scores = sigmoid(outputs)
+        elif function_to_apply == ClassificationFunction.SOFTMAX:
+            scores = softmax(outputs)
+        elif function_to_apply == ClassificationFunction.NONE:
+            scores = outputs
+        else:
+            raise ValueError(f"Unrecognized `function_to_apply` argument: {function_to_apply}")
+
+        if top_k == 1 and _legacy:
+            return {"label": self.model.config.id2label[scores.argmax().item()], "score": scores.max().item()}
+
+        dict_scores = [
+            {"label": self.model.config.id2label[i], "score": score.item()} for i, score in enumerate(scores)
+        ]
+        if not _legacy:
+            dict_scores.sort(key=lambda x: x["score"], reverse=True)
+            if top_k is not None:
+                dict_scores = dict_scores[:top_k]
+        return dict_scores
+Call docstring:
+Classify the text(s) given as inputs.
+
+Args:
+    args (`str` or `List[str]` or `Dict[str]`, or `List[Dict[str]]`):
+        One or several texts to classify. In order to use text pairs for your classification, you can send a
+        dictionary containing `{"text", "text_pair"}` keys, or a list of those.
+    top_k (`int`, *optional*, defaults to `1`):
+        How many results to return.
+    function_to_apply (`str`, *optional*, defaults to `"default"`):
+        The function to apply to the model outputs in order to retrieve the scores. Accepts four different
+        values:
+
+        If this argument is not specified, then it will apply the following functions according to the number
+        of labels:
+
+        - If the model has a single label, will apply the sigmoid function on the output.
+        - If the model has several labels, will apply the softmax function on the output.
+
+        Possible values are:
+
+        - `"sigmoid"`: Applies the sigmoid function on the output.
+        - `"softmax"`: Applies the softmax function on the output.
+        - `"none"`: Does not apply any function on the output.
+
+Return:
+    A list or a list of list of `dict`: Each result comes as list of dictionaries with the following keys:
+
+    - **label** (`str`) -- The label predicted.
+    - **score** (`float`) -- The corresponding probability.
+
+    If `top_k` is used, one such dictionary is returned per label.
+
+
+
+
classifier.forward # what actually runs the inputs
+
+
<bound method Pipeline.forward of <transformers.pipelines.text_classification.TextClassificationPipeline object>>
+
+
+
+
classifier.forward??
+
+
Signature: classifier.forward(model_inputs, **forward_params)
+Docstring: <no docstring>
+Source:   
+    def forward(self, model_inputs, **forward_params):
+        with self.device_placement():
+            if self.framework == "tf":
+                model_inputs["training"] = False
+                model_outputs = self._forward(model_inputs, **forward_params)
+            elif self.framework == "pt":
+                inference_context = self.get_inference_context()
+                with inference_context():
+                    model_inputs = self._ensure_tensor_on_device(model_inputs, device=self.device)
+                    model_outputs = self._forward(model_inputs, **forward_params)
+                    model_outputs = self._ensure_tensor_on_device(model_outputs, device=torch.device("cpu"))
+            else:
+                raise ValueError(f"Framework {self.framework} is not supported")
+        return model_outputs
+File:      ~/mambaforge/envs/llm_base/lib/python3.11/site-packages/transformers/pipelines/base.py
+Type:      method
+
+
+
+
classifier._forward??
+
+
Signature: classifier._forward(model_inputs)
+Docstring:
+_forward will receive the prepared dictionary from `preprocess` and run it on the model. This method might
+involve the GPU or the CPU and should be agnostic to it. Isolating this function is the reason for `preprocess`
+and `postprocess` to exist, so that the hot path, this method generally can run as fast as possible.
+
+It is not meant to be called directly, `forward` is preferred. It is basically the same but contains additional
+code surrounding `_forward` making sure tensors and models are on the same device, disabling the training part
+of the code (leading to faster inference).
+Source:   
+    def _forward(self, model_inputs):
+        # `XXXForSequenceClassification` models should not use `use_cache=True` even if it's supported
+        model_forward = self.model.forward if self.framework == "pt" else self.model.call
+        if "use_cache" in inspect.signature(model_forward).parameters.keys():
+            model_inputs["use_cache"] = False
+        return self.model(**model_inputs)
+File:      ~/mambaforge/envs/llm_base/lib/python3.11/site-packages/transformers/pipelines/text_classification.py
+Type:      method
+
+
+
+
classifier.model
+
+
DistilBertForSequenceClassification(
+  (distilbert): DistilBertModel(
+    (embeddings): Embeddings(
+      (word_embeddings): Embedding(30522, 768, padding_idx=0)
+      (position_embeddings): Embedding(512, 768)
+      (LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
+      (dropout): Dropout(p=0.1, inplace=False)
+    )
+    (transformer): Transformer(
+      (layer): ModuleList(
+        (0-5): 6 x TransformerBlock(
+          (attention): MultiHeadSelfAttention(
+            (dropout): Dropout(p=0.1, inplace=False)
+            (q_lin): Linear(in_features=768, out_features=768, bias=True)
+            (k_lin): Linear(in_features=768, out_features=768, bias=True)
+            (v_lin): Linear(in_features=768, out_features=768, bias=True)
+            (out_lin): Linear(in_features=768, out_features=768, bias=True)
+          )
+          (sa_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
+          (ffn): FFN(
+            (dropout): Dropout(p=0.1, inplace=False)
+            (lin1): Linear(in_features=768, out_features=3072, bias=True)
+            (lin2): Linear(in_features=3072, out_features=768, bias=True)
+            (activation): GELUActivation()
+          )
+          (output_layer_norm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
+        )
+      )
+    )
+  )
+  (pre_classifier): Linear(in_features=768, out_features=768, bias=True)
+  (classifier): Linear(in_features=768, out_features=2, bias=True)
+  (dropout): Dropout(p=0.2, inplace=False)
+)
+
+
+
+

Summary: ? and ?? are very powerful and useful inspection tools for Jupyter notebooks.

+
+
+
+

Peeking inside the pipeline

+

We can see the pipeline loaded the model.

+

It then handled the three key pieces (Config, Preprocess, Model) underneath the hood. What exactly is pipeline doing?

+

Let’s build or own pipeline from scratch, stepping one small level below the abstraction. To do this, we will create each of the key pieces manually.

+
+

Config class

+
+
from transformers import DistilBertConfig
+
+
+
+

Preprocessor class

+
+
from transformers import DistilBertTokenizer
+
+
+
+

Model class

+
+
# from transformers import DistilBertModel
+from transformers import DistilBertForSequenceClassification
+
+

Now we can use the model’s name from up above and build each piece ourselves. HuggingFace uses the from_pretrained method to make this quick and easy.

+
+
# the model we are using
+model_name = 'distilbert-base-uncased-finetuned-sst-2-english'
+
+
+
# creating the config
+config = DistilBertConfig.from_pretrained(model_name)
+
+# creating the preprocessor 
+tokenizer = DistilBertTokenizer.from_pretrained(model_name)
+
+# creating the model
+model = DistilBertForSequenceClassification.from_pretrained(model_name)
+
+

Next we build a simple pipeline with these manual pieces.

+
+
def preprocess(text: str):
+    """
+    Sends `text` through the LLM's tokenizer.  
+    The tokenizers turns words and characters into special inputs for the LLM.
+    """
+    tokenized_inputs = tokenizer(text, return_tensors='pt')
+    return tokenized_inputs
+
+
+
text = "I love Fractal! I'm so glad it's not a cult!"
+preprocess(text)
+
+
{'input_ids': tensor([[  101,  1045,  2293, 25312, 25572,  2140,   999,  1045,  1005,  1049,
+          2061,  5580,  2009,  1005,  1055,  2025,  1037,  8754,   999,   102]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}
+
+
+
+
def forward(text):
+    """
+    First we preprocess the `text` into tokens.
+    Then we send the `token_inputs` to the model.
+    """
+    token_inputs = preprocess(text)
+    outputs = model(**token_inputs)
+    return outputs
+
+
+
outputs = forward(text); outputs
+
+
SequenceClassifierOutput(loss=None, logits=tensor([[-3.3825,  3.5515]], grad_fn=<AddmmBackward0>), hidden_states=None, attentions=None)
+
+
+
+
config.id2label[1]
+
+
'POSITIVE'
+
+
+
+
outputs.logits
+
+
tensor([[-3.3825,  3.5515]], grad_fn=<AddmmBackward0>)
+
+
+
+
def count_parameters(model):
+    return sum(p.numel() for p in model.parameters() if p.requires_grad)
+
+
+
f"{count_parameters(model):,}"
+
+
'66,955,010'
+
+
+
+
def process_outputs(outs):
+    """
+    Here is where HuggingFace does the most for us via `pipeline`.  
+    """
+    # grab the raw "scores" that from the model for Positive and Negative labels
+    logits = outs.logits
+
+    # find the strongest label score, aka the model's decision
+    pred_idx = logits.argmax(1).item()
+
+    # use the `config` object to find the class label
+    pred_label = config.id2label[pred_idx]  
+
+    # calculate the human-readable number for the score
+    pred_score = logits.softmax(-1)[:, pred_idx].item()
+
+    return {
+        'label': pred_label,
+        'score': pred_score, 
+    }
+
+
+
def simple_pipeline(text):
+    model_outs = forward(text)
+    preds = process_outputs(model_outs)
+    return preds
+
+

Let’s call this pipeline on the same example text from before.

+
+
text = "We are very happy to show you the 🤗 Transformers library."
+
+
+
simple_pipeline(text)
+
+
{'label': 'POSITIVE', 'score': 0.9997795224189758}
+
+
+
+
+
+

More HF magic

+

Auto classes.

+
+
from transformers import AutoConfig
+from transformers import AutoTokenizer
+from transformers import AutoModelForSequenceClassification
+
+
+
model_name = "finiteautomata/bertweet-base-sentiment-analysis"
+
+
+
config = AutoConfig.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+
Downloading (…)lve/main/config.json: 100%|██████████| 949/949 [00:00<00:00, 3.91MB/s]
+Downloading (…)okenizer_config.json: 100%|██████████| 338/338 [00:00<00:00, 1.30MB/s]
+Downloading (…)solve/main/vocab.txt: 100%|██████████| 843k/843k [00:00<00:00, 5.35MB/s]
+Downloading (…)solve/main/bpe.codes: 100%|██████████| 1.08M/1.08M [00:00<00:00, 17.1MB/s]
+Downloading (…)in/added_tokens.json: 100%|██████████| 22.0/22.0 [00:00<00:00, 103kB/s]
+Downloading (…)cial_tokens_map.json: 100%|██████████| 167/167 [00:00<00:00, 717kB/s]
+emoji is not installed, thus not converting emoticons or emojis into text. Install emoji: pip3 install emoji==0.6.0
+Downloading pytorch_model.bin: 100%|██████████| 540M/540M [00:30<00:00, 17.6MB/s] 
+
+
+
+
simple_pipeline(text)
+
+
{'label': 'POS', 'score': 0.9929807186126709}
+
+
+ + +
+ +
+ +
+ + + + \ No newline at end of file diff --git a/02_nbdev.html b/02_nbdev.html new file mode 100644 index 0000000..59265f3 --- /dev/null +++ b/02_nbdev.html @@ -0,0 +1,520 @@ + + + + + + + + + +Fractal-LLM-Course - Publishing blog posts directly from Notebooks + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + +
+ +
+ + +
+ + + +
+ +
+
+

Publishing blog posts directly from Notebooks

+
+ + + +
+ + + + +
+ + +
+ +
+

Goals:

+
    +
  • Publish your first blog post.
    +
  • +
  • Create a full, proper python library for the custom Sentiment Analysis pipeline from last time.
  • +
+
+
+

Publishing directly from a Notebook

+
+

Reference: blogging with nbdev.

+
+

nbdev leverages an amazing tool called Quarto.

+
+
+

+
image.png
+
+
+

Here we take a closer look at the nbdev library. nbdev is a powerful tool based on two key ideas:
+- Literate programming. - Exploratory programming.

+

In Literate Programming, descriptions (documentation) are woven directly into a project’s source code.
+This is opposite of how most codebases are set up, where documentation exists as a separate set of files.

+

How is this different from parsing source code and comments into documentation? In Literate Programming the code, tests, and documentation are all first-class citizens. And with nbdev, the Notebook is the single source of truth for all of these. Think about what this truly means, and just how much overhead work it removes.

+

Instead of having to independently manage code, docs, and tests, everything can be done in Notebooks. If the notebook runs, you know your code will run. And you can directly document and test your code in the notebook as you develop.

+

Exploratory programming is, as the name suggests, an open-ended approach to coding when exploring unknown domains or areas. Folks often use it at the start of a project, when the requirements or scope are not yet flushed out.

+

Try things out, figure out how they work, what they do. Poke around. Explore. Follow that curiosity. Have fun! Can always restart the Notebook, no fear around trying things - very little to no downside.

+

nbdev combines these two ideas. We can then mix and match them in different doses as needed.

+

This notebook will turn our previous, first runs into a proper python library.
+It will have documentation and tests directly in the notebook.

+
+
%load_ext autoreload
+%autoreload 2
+
+

::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’}

+
from transformers import AutoConfig
+from transformers import AutoTokenizer
+from transformers import AutoModelForSequenceClassification
+

:::

+

::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’}

+
class SentimentPipeline:
+    def __init__(self, model_name):
+        """
+        Sentiment Analysis pipeline.
+        """
+        self.model_name = model_name
+        self.config = AutoConfig.from_pretrained(self.model_name)
+        self.tokenizer = AutoTokenizer.from_pretrained(self.model_name)
+        self.model = AutoModelForSequenceClassification.from_pretrained(self.model_name)
+
+
+    def preprocess(self, text: str):
+        """
+        Sends `text` through the LLM's tokenizer.  
+        The tokenizers turns words and characters into special inputs for the LLM.
+        """
+        tokenized_inputs = self.tokenizer(text, return_tensors='pt')
+        return tokenized_inputs
+    
+
+    def forward(self, text: str):
+        """
+        First we preprocess the `text` into tokens.
+        Then we send the `token_inputs` to the model.
+        """
+        token_inputs = self.preprocess(text)
+        outputs = self.model(**token_inputs)
+        return outputs
+    
+
+    def process_outputs(self, outs):
+        """
+        Here is where HuggingFace does the most for us via `pipeline`.  
+        """
+        # grab the raw "scores" that from the model for Positive and Negative labels
+        logits = outs.logits
+
+        # find the strongest label score, aka the model's decision
+        pred_idx = logits.argmax(1).item()
+
+        # use the `config` object to find the class label
+        pred_label = self.config.id2label[pred_idx]  
+
+        # calculate the human-readable number for the score
+        pred_score = logits.softmax(-1)[:, pred_idx].item()
+
+        return {
+            'label': pred_label,
+            'score': pred_score, 
+        }
+    
+    def __call__(self, text: str):
+        model_outs = self.forward(text)
+        preds = self.process_outputs(model_outs)
+        return preds
+    
+    def __repr__(self):
+        return f"SentimentAnalysis_{self.model_name}"
+
+

:::

+ + +
+ +
+ +
+ + + + \ No newline at end of file diff --git a/02_nbdev_files/figure-html/66b3e06d-1-image.png b/02_nbdev_files/figure-html/66b3e06d-1-image.png new file mode 100644 index 0000000000000000000000000000000000000000..97d7e7cfef6068175b59082bd85dd2c1daa8ff5b GIT binary patch literal 264521 zcmeFZWmr_-y9SIjDkvhNv@}R4DQ(ax-Q6)DIWUxnf`F8O1=07J)6 z@Ae<({5cvl8TX_ba@27?`et zbC|?DLPC_UD1>h27v?|s4j0eJS6xrv7%2vHaV=qfka(Ls_-qOO+WS66W5}}yWSFmF z4lLDfORC{nU`5_QQo zH&%kzHS6ngfu`C&v%fJC1;-9Pnb@&Z@{NC3@M?}(A>!*tZIYFHm?`}3bHe;d%m3k}OgzPt;-yg@?AP{RmT$k#xqW+j|330fW2Djj$2oh` z?1K>+9d9VOJJ_>7igywBt;m_p$E`6uCq4wXM? z1lAF_@}6p63~q<4JT%+ycvDNej`j%5eJ*5}!fcp4KoIsF5x|AD`~e3OgG$C&9`Br% z0$&JCez6qW$c+E~!(($yu~Mz)Z|T38i@x#riuG$r`ODc4V~^yP!nk`Ov^Q??u{1lc z0}E?p`04OO{9oSt4WbqaVxMr476v@P)rtY&XDbd3kRGFNtKZRWuO3KcBkyX;{`nrdDZ#X)ck0h4?1M z0(&D6{W?T9^G5s5+ymSCmFrpo^`PEbqT+koPGpaRf-in{7e`vK9(>pQd>wtVXt~!u z|L!b`s)xlBdpg4Y>QF{QPh--A)TYR257PX8>}E zNMBTR31!#h-ZMOsl^TgukoY1K`J`JUlTydO 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+
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+ + + + + + \ No newline at end of file diff --git a/blog/index.xml b/blog/index.xml new file mode 100644 index 0000000..2a74cf3 --- /dev/null +++ b/blog/index.xml @@ -0,0 +1,15 @@ + + + +Fractal-LLM-Course +https://enzokro.github.io/Fractal-LLM-Course/blog/index.html + +Fractal-U course on LLMs +quarto-1.3.450 +Sat, 23 Sep 2023 21:33:46 GMT + + diff --git a/first_runs.html b/blog/posts/2023-09-24-my-first-post/index.html similarity index 76% rename from first_runs.html rename to blog/posts/2023-09-24-my-first-post/index.html index 8690d0b..b7e8642 100644 --- a/first_runs.html +++ b/blog/posts/2023-09-24-my-first-post/index.html @@ -6,9 +6,8 @@ - -Fractal-LLM-Course - Environment setups +Fractal-LLM-Course – index - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + - - - - - - - + @@ -78,7 +71,7 @@