Instructions to use SuperMust/oss-lexior2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SuperMust/oss-lexior2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SuperMust/oss-lexior2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SuperMust/oss-lexior2: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/SuperMust/oss-lexior2/resolve/main/training_args.bin
- Command line
-
hf download hf://SuperMust/oss-lexior2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SuperMust/oss-lexior2/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- b0f061b35892cb1510d39c6aa7b989eddd7b4adef8fb211b33b1a3d92ef27697
- Size of remote file:
- 6.23 kB
- SHA256:
- c3909dd7b31fda8cd4e6cef6029d37efedccd2bb66f7bf18bc14fa9340ea6083
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