Instructions to use chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3 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, "chauhoang/f4ceaa19-6420-4b44-a08d-f9e4b1bc8dc3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1471941f649eb389a7d27c777708e185b65bce57ad85c2c1159cad417ee1d7ea
- Size of remote file:
- 83.9 MB
- SHA256:
- 2121386ed5cb8e6c726021cd4c0f3b58f65ef69e11c75f5aede719e2aa48cb1a
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