Instructions to use kentchen/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kentchen/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, "kentchen/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kentchen/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/kentchen/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://kentchen/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kentchen/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 57c7b4b045e82b9a5a17244a142f2cfdc34cf6c6071a02887b6d08a2ebebb659
- Size of remote file:
- 5.18 kB
- SHA256:
- c1360c77a6cbee502d70896c259cbf849ed41426eeedad87bd7963847efd1f1b
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