Instructions to use deeponh/Nepali_8b_8b_L3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deeponh/Nepali_8b_8b_L3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deeponh/Nepali_8b_8b_L3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from deeponh/Nepali_8b_8b_L3: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/deeponh/Nepali_8b_8b_L3/resolve/main/training_args.bin
- Command line
-
hf download hf://deeponh/Nepali_8b_8b_L3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deeponh/Nepali_8b_8b_L3/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- fa3f349b41c920c554ed3991be29d273274f573aaa63bf04c3ebc31df2e2dba3
- Size of remote file:
- 5.71 kB
- SHA256:
- 3361cb0ba14288f143085e37ea55a3501fad7f186546100b7d528fc9d2f9725e
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