Instructions to use parth0908/peft-starcoder-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use parth0908/peft-starcoder-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "parth0908/peft-starcoder-finetuned") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from parth0908/peft-starcoder-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/parth0908/peft-starcoder-finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://parth0908/peft-starcoder-finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/parth0908/peft-starcoder-finetuned/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 1b1ccdf38a98b3033dd07353397d9ca2cee3d86326f434d0dd94e762a22a38ed
- Size of remote file:
- 5.3 kB
- SHA256:
- 943ba34db6947c17133b39ec4c78c5c6fd31174dee2eed9c7e866169c6b8cb8a
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