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:
- 7e369928fc577419647fbb917207d14f3e1eab33cf66332954aa7b121579e7fd
- Size of remote file:
- 84.9 kB
- SHA256:
- bd3ca3cbd86f990481255128475966f837f33e3ba568cca331c699d34db67456
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