Instructions to use jumho/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jumho/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "jumho/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jumho/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/jumho/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://jumho/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jumho/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 0c05ae01a3528af3ffd898af6084f851ff79931bb3d9a00e79c00e72fd21b157
- Size of remote file:
- 5.11 kB
- SHA256:
- ee35cdcb40a85e3e09945cad771a97999122f536fcc8328ed4ec2e98be57da60
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