Instructions to use gg4ever/trOCR-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg4ever/trOCR-final 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="gg4ever/trOCR-final")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("gg4ever/trOCR-final") model = AutoModelForMultimodalLM.from_pretrained("gg4ever/trOCR-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: image-to-text
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# trOCR-
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fine-tuned for VisionEncoderDecoderModel(encoder , decoder)
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encoder = 'facebook/deit-base-distilled-patch16-384'
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pipeline_tag: image-to-text
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# trOCR-final
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fine-tuned for VisionEncoderDecoderModel(encoder , decoder)
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encoder = 'facebook/deit-base-distilled-patch16-384'
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