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:
- 062210392d6081ce8ffb569877b47a7ed2aa0de1e87e31f98f0e6531991c8244
- Size of remote file:
- 4.92 kB
- SHA256:
- a50641936b3826d008a764765d4a59dbe8f92a0c7901f6f840b18a25ac8b0969
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