Instructions to use Rachu/tabnetmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rachu/tabnetmodel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rachu/tabnetmodel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fa1a35d7fe2e0f2fa542fd75ccaf4897271e8b4be82ac0947a7144c64c78479
- Size of remote file:
- 1.72 kB
- SHA256:
- cc53867f32cf11c824e31bb76024189fc10b19e75b4197bda270ebf346275f45
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