Instructions to use sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "sergioalves/3c4c31fb-93b4-4385-82e4-5b00f74b01c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88c041e7ab173508d6361482c5d3979ffb74111c3df6ccf3012347c6c811bf86
- Size of remote file:
- 6.78 kB
- SHA256:
- 0e8945d56d1bb436a94640fe7d54ecd19ebe3510579535c0eb707ded6f839fc3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.