Instructions to use nbbquoc/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbbquoc/mamba_text_classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nbbquoc/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ba49676be682eb8720bf319cf94b9bf9487ec1176007bee57cef693bc4d71a8
- Size of remote file:
- 517 MB
- SHA256:
- 923082e7bcf8ddf1b9987bc6e03f54f360c98431fa75d77e36bc93f84f5fe406
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