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 training_args.bin from thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/resolve/main/training_args.bin
- Command line
-
hf download hf://thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thaffggg/17d10b2f-56a6-4e4f-8c9c-191302747de8/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 165a261f54ba50f317b70657dd38645efe46dc360c6009d1586638f4ad2b9cd9
- Size of remote file:
- 6.78 kB
- SHA256:
- ea734618ef72673e2e0e824a27aaa0e06054d7daf0c599a55a0b557783ce0bc0
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