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:
- 4cee8933f0054dda69c9613d6f84d1628556af0404eb19121064b4aa9c2f2524
- Size of remote file:
- 3.63 kB
- SHA256:
- 2b850eb348d1eb89db87c29386b5451d7f69ecaac997f63513c3ce4024c0e93c
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