Instructions to use vorstcavry/test-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vorstcavry/test-upload with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vorstcavry/test-upload", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdd1efc0bcf400bc9415493097b340ffc0490631dc56eea1e53ead2c8c1a852f
- Size of remote file:
- 1.79 GB
- SHA256:
- d5828f35ad4b550badc92934223a390d761985699c05d59152bd0f1447f13c66
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Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.