Instructions to use bigcode/astraios-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bigcode/astraios-7b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-7b") model = PeftModel.from_pretrained(base_model, "bigcode/astraios-7b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 544e70d3bc5d21d26344be1374881ed7b2d01092e4e87c314098b5593f5d3c29
- Size of remote file:
- 50 MB
- SHA256:
- edd026e729e96de575eaec0f46abe17fcb98ee889f9eeb4f8413d4ed59f32197
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.