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 adapter_model.safetensors from johnwee1/peft-starcoder-lora-python: direct link, hf CLI and curl.
- Browser
- Download file 22.2 MB
-
https://huggingface.co/johnwee1/peft-starcoder-lora-python/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://johnwee1/peft-starcoder-lora-python/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/johnwee1/peft-starcoder-lora-python/resolve/main/adapter_model.safetensors
22.2 MB
- Xet hash:
- 04e740572fcb1641dbdcc58efd01e0a303536c141042c670823881b72d6740f4
- Size of remote file:
- 22.2 MB
- SHA256:
- 4ace6ee5afce18c41aebfb4d1da02f27f91987d8ee33c1dd4cfd5d8e802ef456
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