Instructions to use sai1881/Master_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sai1881/Master_v2 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, "sai1881/Master_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e2a121509e7df85334cc5b373ac684e022a2f220e03eda9f3caa247a4efabf
- Size of remote file:
- 1.74 GB
- SHA256:
- 639ce7bd3c852178f8d270880242d8b5200a9141c60d8aa60d0cb3fb44928aec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.