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
File size: 149 Bytes
8b8df81 | 1 2 3 4 5 6 7 8 9 10 | ---
datasets:
- Rachnasp/phishinglegitimateurl
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: tabular-classification
--- |