Instructions to use napatswift/test-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use napatswift/test-ocr 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="napatswift/test-ocr")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("napatswift/test-ocr") model = AutoModelForImageTextToText.from_pretrained("napatswift/test-ocr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 936801bb7e2f72b731f99f9f7c049b99ec34053092b768d876034be9c3991034
- Size of remote file:
- 830 MB
- SHA256:
- b4affb386d1fc5d4b789494deff390a6d62ce20c1c070da214dd71da6f4e87e6
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