Instructions to use BanusreeM/sawit-etmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BanusreeM/sawit-etmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat-bnb-4bit") model = PeftModel.from_pretrained(base_model, "BanusreeM/sawit-etmodel") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from BanusreeM/sawit-etmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/BanusreeM/sawit-etmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://BanusreeM/sawit-etmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BanusreeM/sawit-etmodel/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 05e5e2c62c1eeb20b204b410f49e00fadcb56b30edaebe71b187c319972d4667
- Size of remote file:
- 5.3 kB
- SHA256:
- c415b9564539d5c1d2b57f0f3c9612c975e3f71bf3a528b8b5e797ab8d0340cc
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