Instructions to use artemkramov/coref-ua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artemkramov/coref-ua with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("artemkramov/coref-ua") model = AutoModel.from_pretrained("artemkramov/coref-ua", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from artemkramov/coref-ua: direct link, hf CLI and curl.
- Browser
- Download file 474 MB
-
https://huggingface.co/artemkramov/coref-ua/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://artemkramov/coref-ua/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/artemkramov/coref-ua/resolve/main/pytorch_model.bin
474 MB
- Xet hash:
- 54198cbce90e3cc89e4225638e843acd7d6fd919a0b1be58ac4b85622204c23d
- Size of remote file:
- 474 MB
- SHA256:
- f8853fbbbf897a2e1e884c5fef2105616229066121a9a8c864444080176c6ccb
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