Update dependency @huggingface/transformers to v3.1.2

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
@huggingface/transformers	3.1.1 -> 3.1.2

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Release Notes

huggingface/transformers.js (@​huggingface/transformers)

v3.1.2

Compare Source

🤖 New models

• Add support for PaliGemma (& PaliGemma2) in https://github.com/huggingface/transformers.js/pull/1074

  Example: Image captioning with onnx-community/paligemma2-3b-ft-docci-448.

  import { AutoProcessor, PaliGemmaForConditionalGeneration, load_image } from '@​huggingface/transformers';
  
  // Load processor and model
  const model_id = 'onnx-community/paligemma2-3b-ft-docci-448';
  const processor = await AutoProcessor.from_pretrained(model_id);
  const model = await PaliGemmaForConditionalGeneration.from_pretrained(model_id, {
      dtype: {
          embed_tokens: 'fp16', // or 'q8'
          vision_encoder: 'fp16', // or 'q4', 'q8'
          decoder_model_merged: 'q4', // or 'q4f16'
      },
  });
  
  // Prepare inputs
  const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg'
  const raw_image = await load_image(url);
  const prompt = '<image>caption en'; // Caption the image in English
  const inputs = await processor(raw_image, prompt);
  
  // Generate a response
  const output = await model.generate({
      ...inputs,
      max_new_tokens: 100,
  })
  
  const generated_ids = output.slice(null, [inputs.input_ids.dims[1], null]);
  const answer = processor.batch_decode(
      generated_ids,
      { skip_special_tokens: true },
  );
  console.log(answer[0]);
  // A side view of a light blue 1970s Volkswagen Beetle parked on a gray cement road. It is facing to the right. It has a reflection on the side of it. Behind it is a yellow building with a brown double door on the right. It has a white frame around it. Part of a gray cement wall is visible on the far left.

  List of supported models: https://huggingface.co/models?library=transformers.js\&other=paligemma

• Add support for I-JEPA in https://github.com/huggingface/transformers.js/pull/1073

  Example: Image feature extraction with onnx-community/ijepa_vith14_1k.

  import { pipeline, cos_sim } from "@​huggingface/transformers";
  
  // Create an image feature extraction pipeline
  const extractor = await pipeline(
    "image-feature-extraction",
    "onnx-community/ijepa_vith14_1k",
    { dtype: "q8" },
  );
  
  // Compute image embeddings
  const url_1 = "http://images.cocodataset.org/val2017/000000039769.jpg"
  const url_2 = "http://images.cocodataset.org/val2017/000000219578.jpg"
  const output = await extractor([url_1, url_2]);
  const pooled_output = output.mean(1); // Apply mean pooling
  
  // Compute cosine similarity
  const similarity = cos_sim(pooled_output[0].data, pooled_output[1].data);
  console.log(similarity); // 0.5168613045518973

  List of supported models: https://huggingface.co/models?library=transformers.js\&other=ijepa

• Add support for OLMo2 in https://github.com/huggingface/transformers.js/pull/1076. List of supported models: https://huggingface.co/models?library=transformers.js\&other=olmo2

🐛 Bug fixes

• Fix whisper timestamp extraction for tokenizers with added tokens by @​aravindMahadevan in https://github.com/huggingface/transformers.js/pull/804
• Add missing 'ready' status in the ProgressInfo type by @​ocavue in https://github.com/huggingface/transformers.js/pull/1070

🛠️ Other improvements

• Add function to apply mask to RawImage by @​BritishWerewolf in https://github.com/huggingface/transformers.js/pull/1020
• Bump versions + webpack improvements in https://github.com/huggingface/transformers.js/pull/1075

🤗 New contributors

• @​aravindMahadevan made their first contribution in https://github.com/huggingface/transformers.js/pull/804

Full Changelog: huggingface/transformers.js@3.1.1...3.1.2

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