Instructions to use google/pix2struct-textcaps-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pix2struct-textcaps-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" 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("image-to-text", model="google/pix2struct-textcaps-base")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/pix2struct-textcaps-base") model = AutoModelForImageTextToText.from_pretrained("google/pix2struct-textcaps-base") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +0 -1
tokenizer_config.json
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{
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"padding_side": "left",
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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