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.bin 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.bin
- Command line
-
hf download hf://error577/e99b6a20-be94-4148-af75-f696f7fce256/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/error577/e99b6a20-be94-4148-af75-f696f7fce256/resolve/main/adapter_model.bin
201 MB
- Xet hash:
- fcfca63e607fbbb474e7c302e1861eb8ba3339fcc97df35b17fbe0d329daf02d
- Size of remote file:
- 201 MB
- SHA256:
- 0b85515625570ea1e987368a4b919cce35f7b3e83b78cfb9a5bd2852a6d34711
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