Instructions to use Bingsu/ocr_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bingsu/ocr_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bingsu/ocr_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Bingsu/ocr_test: direct link, hf CLI and curl.
- Browser
- Download file 85.8 MB
-
https://huggingface.co/Bingsu/ocr_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Bingsu/ocr_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bingsu/ocr_test/resolve/main/pytorch_model.bin
85.8 MB
- Xet hash:
- cca5d7dc7213729ea77006d24ede0a48bb3421130a54260917fe932ac7cc4c0a
- Size of remote file:
- 85.8 MB
- SHA256:
- 2fca46c634d9e9edf1ee676281d08efcbfe5e06280e0f243fc6b7bc08a572863
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