Instructions to use sravanthib/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sravanthib/testing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "sravanthib/testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 886aa3d02d222c8469f1f78ca2ec3f6861a5441f792625db97c3478ee6a247cc
- Size of remote file:
- 17.2 MB
- SHA256:
- f0ee8f3fcb6d3cb3415a5b000b5fb45eed91240f0b86531e76c28ffdce05594a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.