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
Download adapter_model.safetensors from chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/chauhoang/e9b4e1e0-d991-870a-cf3d-efda9fc39bc4/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 64c1afd0b44213990ae94f0a47505e6c6af4fa531f8afd3437cbb3668bb8e783
- Size of remote file:
- 83.9 MB
- SHA256:
- adc29af3cc386964ac4299ce82089c126673121cadbfece91777e5231a684b9a
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