Instructions to use agomberto/trocr-large-handwritten-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agomberto/trocr-large-handwritten-fr 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="agomberto/trocr-large-handwritten-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("agomberto/trocr-large-handwritten-fr") model = AutoModelForMultimodalLM.from_pretrained("agomberto/trocr-large-handwritten-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be32449b81004b86d6b35d7503fa43f662f0a9892b20b179fbe9abba91252fda
- Size of remote file:
- 6.04 MB
- SHA256:
- 60c6e67668afb8a54d383ee7f38b2e5308a28f7b4816abe9695c2d69b2e9ac72
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