Instructions to use lykeven/uptest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lykeven/uptest with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lykeven/uptest", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e00f6acec466856a7e614a184a4d8112a8e9b1db48bfcafeaa92c129a12817b1
- Size of remote file:
- 2.71 MB
- SHA256:
- 5e974d9a69c242ce014c88c2b26089270f6198f3c0b700a887666cd3e816f17e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.