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:
- 5fb108c6b2c6bacbd18dece76f1d22ab5f6c737fa954bd044219892ecae36b84
- Size of remote file:
- 14.2 kB
- SHA256:
- d36cf02c5c091e1cf6b7a556033f9afe92924f5c6d18c68aeec7f759f6f16a6c
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