Instructions to use microsoft/trocr-small-handwritten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/trocr-small-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-small-handwritten")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-small-handwritten") model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-small-handwritten") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b42a1994c771422de84db3c4e9f9384b66a67a2124426e18728edbe8d660a415
- Size of remote file:
- 246 MB
- SHA256:
- 1b83102cbc1520dee1c3937ac334da83da18cf4683d46ebd1bd4e93ebe584dd7
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