Instructions to use error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "error577/a0abd2fc-0e9c-4a53-83bd-5435c4990984") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dff84c5ca78760298ff9e1a53eb002d36ae241cdec16bfe93cd6f708f86ae677
- Size of remote file:
- 191 MB
- SHA256:
- e679c3c3a8da1a1a55959e659c4605e5bb1398cbad3b32cd19f9cbbe2857087e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.