Instructions to use eeeebbb2/25570423-aa2b-4102-bc81-9099fd66cc65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/25570423-aa2b-4102-bc81-9099fd66cc65 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/25570423-aa2b-4102-bc81-9099fd66cc65") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08d4294a47c99d8df25de5b26275efd0f44c18ebe35e015011304735d1183d90
- Size of remote file:
- 6.84 kB
- SHA256:
- 93b29f7e7d957d0c541e96f7ab916c384ae93434dae4738ba518c45512f61590
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.