Instructions to use sharkMeow/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/test") model = AutoModel.from_pretrained("sharkMeow/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sharkMeow/test: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/sharkMeow/test/resolve/main/training_args.bin
- Command line
-
hf download hf://sharkMeow/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sharkMeow/test/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- fc7ccfe2d89bc7d3f8bc780f2c56e8355ce30e6217a046f26aa3ccbd633cfae1
- Size of remote file:
- 5.11 kB
- SHA256:
- 5f7c38c2e666d953d7d3be4b92471b17926a859baf1227732ceda12a9db241f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.