Instructions to use johnwee1/peft-starcoder-lora-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use johnwee1/peft-starcoder-lora-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "johnwee1/peft-starcoder-lora-python") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from johnwee1/peft-starcoder-lora-python: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/johnwee1/peft-starcoder-lora-python/resolve/1d83db9bc0cfcec1f30163d54d1d0bf18b99b903/training_args.bin
- Command line
-
hf download hf://johnwee1/peft-starcoder-lora-python@1d83db9bc0cfcec1f30163d54d1d0bf18b99b903/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/johnwee1/peft-starcoder-lora-python/resolve/1d83db9bc0cfcec1f30163d54d1d0bf18b99b903/training_args.bin
5.11 kB
- Xet hash:
- 1e1a5750afa209545005f4025832cacf1ab1ec48ae93c208f8ef43a3a88d09e2
- Size of remote file:
- 5.11 kB
- SHA256:
- 008e9600a382ab41ce3b523edcb68c06ae49983be22ae3ed792562daea751e01
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