Instructions to use Fardan/opt350-alpaca-code-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fardan/opt350-alpaca-code-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fardan/opt350-alpaca-code-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fardan/opt350-alpaca-code-adapter: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Fardan/opt350-alpaca-code-adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://Fardan/opt350-alpaca-code-adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fardan/opt350-alpaca-code-adapter/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- dbd4948d7cb09166f2890c48372588229a372892bdaa7f0dd9b06bdfa655f42c
- Size of remote file:
- 5.56 kB
- SHA256:
- f2c5c5e980a66e15a1d076c7197005acdb4ea4c29c8876c8d2f2bfd69674738c
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