Instructions to use MSLars/coref_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSLars/coref_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MSLars/coref_test") model = AutoModel.from_pretrained("MSLars/coref_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MSLars/coref_test: direct link, hf CLI and curl.
- Browser
- Download file 532 MB
-
https://huggingface.co/MSLars/coref_test/resolve/main/model.safetensors
- Command line
-
hf download hf://MSLars/coref_test/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MSLars/coref_test/resolve/main/model.safetensors
532 MB
- Xet hash:
- 99dc5bcffac9be017743f7296b2f87f307f43cf121f41e60bdd8bfbc68ce5df7
- Size of remote file:
- 532 MB
- SHA256:
- 341b5a4b5fd3d42d8355800efd62861e31c052edbe1962855c30567818a2f1cb
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