Instructions to use nijji/lr_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nijji/lr_5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nijji/lr_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nijji/lr_5: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/nijji/lr_5/resolve/main/training_args.bin
- Command line
-
hf download hf://nijji/lr_5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nijji/lr_5/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- a0f30fe0defccdc0e26ccbf50284d25ef81363d906bc896a3ba2980ff9622aa8
- Size of remote file:
- 5.69 kB
- SHA256:
- cc7f6ae7256901541bd8da1533388eeb59bdd7d47791dc5dd94acbf34090cd37
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