Instructions to use Wannabes/VastResult with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wannabes/VastResult with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Wannabes/VastResult", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfe728e14e7f6d8a1cff04f0a88c941415010ad10ef5e7f8c8baef8230aba2af
- Size of remote file:
- 718 kB
- SHA256:
- 5a919d63d484fe7e5e137a647a0de5c8b76bba19cda23a222dd7e9a63a9abab4
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