Instructions to use nijji/lr_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nijji/lr_4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nijji/lr_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nijji/lr_4: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/nijji/lr_4/resolve/main/training_args.bin
- Command line
-
hf download hf://nijji/lr_4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nijji/lr_4/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 6d7e9edb5bb7cc27944aeb500f36e8e863270b483dc59e376dfd434ac951ea87
- Size of remote file:
- 5.69 kB
- SHA256:
- 44de2715d3eee6540deae745c519ec3486bc795af3bda524d11881689c19d2dc
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