Instructions to use cy948/starcoder-peft-airscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cy948/starcoder-peft-airscript with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "cy948/starcoder-peft-airscript") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cy948/starcoder-peft-airscript: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/cy948/starcoder-peft-airscript/resolve/651a4b308bd581627fe0f2ef2504ebf317b653cc/training_args.bin
- Command line
-
hf download hf://cy948/starcoder-peft-airscript@651a4b308bd581627fe0f2ef2504ebf317b653cc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cy948/starcoder-peft-airscript/resolve/651a4b308bd581627fe0f2ef2504ebf317b653cc/training_args.bin
5.18 kB
- Xet hash:
- 0a1fed20ffe43344ef6733c2c49cc0dd2ba85703a6c4e7f57b820468436095d6
- Size of remote file:
- 5.18 kB
- SHA256:
- f57512eedc7d3478e1038650336458a43309ded4747bf5623cde4ae18f31c545
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