Instructions to use badrabbitt/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badrabbitt/mamba_text_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("badrabbitt/mamba_text_classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 848aa652d5bca0940026065ca3a32b0c0871e69a37c510ba8a32dd8f4129158a
- Size of remote file:
- 4.98 kB
- SHA256:
- 9935e08b05f28380a32a343f90e607267a43e0221985a0697c41e7719d887116
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.