Instructions to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0ee4d095487121f263b5f9c8b3f81f1dfbfba041f498369fec91d84b66164ae
- Size of remote file:
- 671 MB
- SHA256:
- 524c866e50744483539c27527bc09dacffc1a969e4add4d2685e7ee06e233c8c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.