Instructions to use junjuice0/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junjuice0/test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junjuice0/test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f449e0877f2af12a6d9da9ebe9f5225970b15d0ec6441a727203adebabfbc145
- Size of remote file:
- 6.94 GB
- SHA256:
- 6c948683217e3466cd822221c80ecb31f5d8d6bd20e5bc850870e21d7b39e4a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.