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
| datasets: | |
| - Rachnasp/phishinglegitimateurl | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| library_name: transformers | |
| pipeline_tag: tabular-classification | |