Instructions to use openlife2/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use openlife2/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, "openlife2/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from openlife2/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/openlife2/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://openlife2/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/openlife2/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 768530f542fcd751d952d15ba2ef09729fd3354d10b7427a0c84bde29e8acd4e
- Size of remote file:
- 5.37 kB
- SHA256:
- 4901d7c3ca6ae12e832cffef113cb9298e9581b8a8392b08a300ab0f87fc6008
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.