Instructions to use chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4 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/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c75ecf1f14bc75ba79882fbe1211929ca3e97e562ed05342b433bc2eff1ece31
- Size of remote file:
- 6.78 kB
- SHA256:
- 48c4b4c436e3b2656095844222feae1ea881d2f25ab45b161c1b88a268aed357
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