Instructions to use thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/resolve/main/adapter_model.bin
- Command line
-
hf download hf://thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- 87836e2168a2c52592ed311c9e0782b0161d8834e057835583e845b55aa113c6
- Size of remote file:
- 168 MB
- SHA256:
- c185f6c36467d967fad8b2eddcecca1ea0796bb3ba982a7e8243eb39a423ae70
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