Instructions to use jikehukai/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jikehukai/mamba_text_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jikehukai/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ce14a945a4979ce730cc6d9d071c836878dcd03f8186733c003a5289a5e5aa7
- Size of remote file:
- 4.28 kB
- SHA256:
- e5e86f529d4443baf96aa648c819ec97b1999f2acfbd05e97d51fc65f2da7674
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.