Instructions to use KaQyn/peft-lora-starcoder2-15b-unity-copilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaQyn/peft-lora-starcoder2-15b-unity-copilot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-15b") model = PeftModel.from_pretrained(base_model, "KaQyn/peft-lora-starcoder2-15b-unity-copilot") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KaQyn/peft-lora-starcoder2-15b-unity-copilot: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/KaQyn/peft-lora-starcoder2-15b-unity-copilot/resolve/main/training_args.bin
- Command line
-
hf download hf://KaQyn/peft-lora-starcoder2-15b-unity-copilot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KaQyn/peft-lora-starcoder2-15b-unity-copilot/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- a4dab361a5ba561206fe52d8defa14c4ff388cdda1a813443138a32bb098df84
- Size of remote file:
- 4.92 kB
- SHA256:
- d1193aee47e3038379142375d74f5370107b8c1b96ae3dd02a99cea152821924
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