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Deprecate TransfoXL #27607

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Nov 24, 2023
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Deprecate TransfoXL #27607

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17 changes: 13 additions & 4 deletions docs/source/en/model_doc/transfo-xl.md
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Expand Up @@ -16,6 +16,15 @@ rendered properly in your Markdown viewer.

# Transformer XL

<Tip warning={true}>

This model is in maintenance mode only, so we won't accept any new PRs changing its code.
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If you run into any issues running this model, please reinstall the last version that supported this model: v4.30.0.
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You can do so by running the following command: `pip install -U transformers==4.30.0`.

</Tip>

<div class="flex flex-wrap space-x-1">
<a href="https://huggingface.co/models?filter=transfo-xl">
<img alt="Models" src="https://img.shields.io/badge/All_model_pages-transfo--xl-blueviolet">
Expand Down Expand Up @@ -79,13 +88,13 @@ TransformerXL does **not** work with *torch.nn.DataParallel* due to a bug in PyT

## TransfoXL specific outputs

[[autodoc]] models.transfo_xl.modeling_transfo_xl.TransfoXLModelOutput
[[autodoc]] models.deprecated.transfo_xl.modeling_transfo_xl.TransfoXLModelOutput

[[autodoc]] models.transfo_xl.modeling_transfo_xl.TransfoXLLMHeadModelOutput
[[autodoc]] models.deprecated.transfo_xl.modeling_transfo_xl.TransfoXLLMHeadModelOutput

[[autodoc]] models.transfo_xl.modeling_tf_transfo_xl.TFTransfoXLModelOutput
[[autodoc]] models.deprecated.transfo_xl.modeling_tf_transfo_xl.TFTransfoXLModelOutput

[[autodoc]] models.transfo_xl.modeling_tf_transfo_xl.TFTransfoXLLMHeadModelOutput
[[autodoc]] models.deprecated.transfo_xl.modeling_tf_transfo_xl.TFTransfoXLLMHeadModelOutput

<frameworkcontent>
<pt>
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14 changes: 0 additions & 14 deletions docs/source/es/converting_tensorflow_models.md
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Expand Up @@ -96,20 +96,6 @@ transformers-cli convert --model_type gpt2 \
[--finetuning_task_name OPENAI_GPT2_FINETUNED_TASK]
```

## Transformer-XL

Aquí hay un ejemplo del proceso para convertir un modelo Transformer-XL pre-entrenado (más información [aquí](https://github.com/kimiyoung/transformer-xl/tree/master/tf#obtain-and-evaluate-pretrained-sota-models)):

```bash
export TRANSFO_XL_CHECKPOINT_FOLDER_PATH=/path/to/transfo/xl/checkpoint

transformers-cli convert --model_type transfo_xl \
--tf_checkpoint $TRANSFO_XL_CHECKPOINT_FOLDER_PATH \
--pytorch_dump_output $PYTORCH_DUMP_OUTPUT \
[--config TRANSFO_XL_CONFIG] \
[--finetuning_task_name TRANSFO_XL_FINETUNED_TASK]
```
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## XLNet

Aquí hay un ejemplo del proceso para convertir un modelo XLNet pre-entrenado:
Expand Down
15 changes: 0 additions & 15 deletions docs/source/it/converting_tensorflow_models.md
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Expand Up @@ -104,21 +104,6 @@ transformers-cli convert --model_type gpt2 \
[--finetuning_task_name OPENAI_GPT2_FINETUNED_TASK]
```

## Transformer-XL


Ecco un esempio del processo di conversione di un modello Transformer-XL pre-allenato
(vedi [qui](https://github.com/kimiyoung/transformer-xl/tree/master/tf#obtain-and-evaluate-pretrained-sota-models)):

```bash
export TRANSFO_XL_CHECKPOINT_FOLDER_PATH=/path/to/transfo/xl/checkpoint
transformers-cli convert --model_type transfo_xl \
--tf_checkpoint $TRANSFO_XL_CHECKPOINT_FOLDER_PATH \
--pytorch_dump_output $PYTORCH_DUMP_OUTPUT \
[--config TRANSFO_XL_CONFIG] \
[--finetuning_task_name TRANSFO_XL_FINETUNED_TASK]
```
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## XLNet

Ecco un esempio del processo di conversione di un modello XLNet pre-allenato:
Expand Down
14 changes: 0 additions & 14 deletions docs/source/pt/converting_tensorflow_models.md
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Expand Up @@ -109,20 +109,6 @@ transformers-cli convert --model_type gpt2 \
[--finetuning_task_name OPENAI_GPT2_FINETUNED_TASK]
```

## Transformer-XL

Aqui está um exemplo do processo de conversão para um modelo Transformer-XL pré-treinado (consulte [aqui](https://github.com/kimiyoung/transformer-xl/tree/master/tf#obtain-and-evaluate-pretrained-modelos-sota))

```bash
export TRANSFO_XL_CHECKPOINT_FOLDER_PATH=/path/to/transfo/xl/checkpoint

transformers-cli convert --model_type transfo_xl \
--tf_checkpoint $TRANSFO_XL_CHECKPOINT_FOLDER_PATH \
--pytorch_dump_output $PYTORCH_DUMP_OUTPUT \
[--config TRANSFO_XL_CONFIG] \
[--finetuning_task_name TRANSFO_XL_FINETUNED_TASK]
```
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## XLNet

Aqui está um exemplo do processo de conversão para um modelo XLNet pré-treinado:
Expand Down
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