Instructions to use samoline/45f133fa-4c7e-4a13-b0d6-a24ffa486d7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samoline/45f133fa-4c7e-4a13-b0d6-a24ffa486d7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "samoline/45f133fa-4c7e-4a13-b0d6-a24ffa486d7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 402cc617e9a3d86c1b58fc3a080ebf08d56219a19e9346e3cc6824c14147da99
- Size of remote file:
- 42 MB
- SHA256:
- 0a5a7d1608f9be94d0e8b7a2c5ddac59397040361be024b033356a7a2f92fc88
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.