Instructions to use microsoft/trocr-base-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-base-handwritten 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="microsoft/trocr-base-handwritten")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-base-handwritten") model = AutoModelForMultimodalLM.from_pretrained("microsoft/trocr-base-handwritten", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update preprocessor_config.json
Verified signatureUpdate image processor instead of feature extractor.8f13710
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (47db63bbc18d32eca4cb813eb7728c891903e289) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0b16231
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Update config.json (#2)
- Update config.json (b1f5635c466812741bf0b50137f5f79ce0fd6d36) Co-authored-by: Yih-Dar SHIEH <ydshieh@users.noreply.huggingface.co>0cc7aba
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Adding generation config file(s)
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Update README.md
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Update README.md (#1)
- Update README.md (8714486ca9a6b1f9efa41ecc835d0dd6b283ab21) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>bad90c4
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Remove tokenizer_file
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Update code example
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Add appropriate image to the code example
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Add model card
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Rename encoder_hidden_size to cross_attention_hidden_size
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First commit
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initial commit
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