Instructions to use google/pix2struct-widget-captioning-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-widget-captioning-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/pix2struct-widget-captioning-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/pix2struct-widget-captioning-base") model = AutoModelForMultimodalLM.from_pretrained("google/pix2struct-widget-captioning-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (ba3d0706c51c4f4022148c7abf4e84d8c54a56a8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7e99642
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Update README.md
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Update config.json
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Update README.md
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Create README.md
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Upload processor
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Upload Pix2StructForConditionalGeneration
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initial commit
Younes Belkadaa749325