Instructions to use nijji/lr_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nijji/lr_3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nijji/lr_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nijji/lr_3: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/nijji/lr_3/resolve/main/training_args.bin
- Command line
-
hf download hf://nijji/lr_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nijji/lr_3/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 23c1a43e3a97025bdf2daed93280ba604fdc7b30948a5976e0e35ebcba399e1d
- Size of remote file:
- 5.69 kB
- SHA256:
- dc4b985ad49142f3a4cc35cfbef670ae5c2ad55124efdf482bdb750a5ce61c3e
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