Instructions to use WhiteCard/finetune_starcoder2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WhiteCard/finetune_starcoder2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WhiteCard/finetune_starcoder2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from WhiteCard/finetune_starcoder2: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/WhiteCard/finetune_starcoder2/resolve/main/training_args.bin
- Command line
-
hf download hf://WhiteCard/finetune_starcoder2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/WhiteCard/finetune_starcoder2/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- c1fd99ea6719f2faadc2e57365ed6d9965efd3eb7e744f73fba3aaaf5f1134f8
- Size of remote file:
- 5.62 kB
- SHA256:
- 9f6967108adf2245ec7e6c53a120505de5585e9c0f00f21ad2e55fad79e61bdf
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