Instructions to use davidkhjo/Tars with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidkhjo/Tars with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("davidkhjo/Tars", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from davidkhjo/Tars: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/davidkhjo/Tars/resolve/main/training_args.bin
- Command line
-
hf download hf://davidkhjo/Tars/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/davidkhjo/Tars/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 0185a087ae836a3f10180af9d8520d0d6cb8023d2fcd990abbffeae26e58fb4a
- Size of remote file:
- 5.71 kB
- SHA256:
- c1702515063bb4699dc9b34b398fa9a17eb20182dc11b7198826d10aa6a8f85c
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