Instructions to use error577/e99b6a20-be94-4148-af75-f696f7fce256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/e99b6a20-be94-4148-af75-f696f7fce256 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "error577/e99b6a20-be94-4148-af75-f696f7fce256") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/e99b6a20-be94-4148-af75-f696f7fce256: direct link, hf CLI and curl.
- Browser
- Download file 201 MB
-
https://huggingface.co/error577/e99b6a20-be94-4148-af75-f696f7fce256/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/e99b6a20-be94-4148-af75-f696f7fce256/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/e99b6a20-be94-4148-af75-f696f7fce256/resolve/main/adapter_model.safetensors
201 MB
- Xet hash:
- d8e2458f494408f3da7176dc8d414f520a1a95f3ddd8134c350150fe369ab185
- Size of remote file:
- 201 MB
- SHA256:
- c0f3344c939664491da45ddbb458b11f72bfc2f8316695ca448d39f79c7e8629
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