Instructions to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7: direct link, hf CLI and curl.
- Browser
- Download file 478 MB
-
https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/c56404ba317db76ac20554ff2f4e866f24d57b32/adapter_model.safetensors
- Command line
-
hf download hf://cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7@c56404ba317db76ac20554ff2f4e866f24d57b32/adapter_model.safetensors
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curl -L -o adapter_model.safetensors https://huggingface.co/cimol/d64fa5ce-cbf1-455e-ae25-e2961c53f7d7/resolve/c56404ba317db76ac20554ff2f4e866f24d57b32/adapter_model.safetensors
478 MB
- Xet hash:
- 4e7895304c7e74f4446c22047021145a444683228412ac15c46674116ebdd759
- Size of remote file:
- 478 MB
- SHA256:
- fe04c4921c50cc9b8edac31509706d5100235d8ec2a5f0d94db837ff6aa88dba
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