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:
- 4f1d356185a113d4f139c5d359d8b3b950d4227b64f357e1e4080a3e451ef122
- Size of remote file:
- 83.9 MB
- SHA256:
- 2a012cb95fcd31e3ddf3d73f530f6892701cb8aa30c8e3573fa465de3c1576dd
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