Instructions to use agomberto/trocr-base-printed-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agomberto/trocr-base-printed-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-base-printed-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("agomberto/trocr-base-printed-fr") model = AutoModelForImageTextToText.from_pretrained("agomberto/trocr-base-printed-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbfcb1fb2ce15cd502dc03823abe4e21d2462a4618bf193d4ff2b8bea7c8e114
- Size of remote file:
- 623 Bytes
- SHA256:
- 3babdb022788a895d8847434cb86e00bc960db1c78070ffc627ec985775a43ed
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