Instructions to use BanusreeM/sawit-etfinalmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BanusreeM/sawit-etfinalmodel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BanusreeM/sawit-etfinalmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from BanusreeM/sawit-etfinalmodel: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/BanusreeM/sawit-etfinalmodel/resolve/main/training_args.bin
- Command line
-
hf download hf://BanusreeM/sawit-etfinalmodel/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BanusreeM/sawit-etfinalmodel/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 176f2ba4107a1f97102a6fd76392ed1eca6f079c9aa8d840d2df331d07341a50
- Size of remote file:
- 5.3 kB
- SHA256:
- 018bc6667078333a1c7387b5b68521d4bfdb66ac169d970dbbb5edc927dc3a51
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