Instructions to use NTA1802/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTA1802/mamba_text_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NTA1802/mamba_text_classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c278cf2b91539bbfef12ec32f7dd8fb1bb2bd31a3f9987c4c81d4cdecf15c90e
- Size of remote file:
- 517 MB
- SHA256:
- e27a5c8c75af37c8cb267d5691d173b8d4e9bf945bcbf15ecabf6c296ade9f2d
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