Instructions to use wterrrr/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wterrrr/mamba_text_classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wterrrr/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from wterrrr/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/wterrrr/mamba_text_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://wterrrr/mamba_text_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/wterrrr/mamba_text_classification/resolve/main/pytorch_model.bin
517 MB
- Xet hash:
- ad09222a6e168fd5560645597b5f34c435bf390ee0697e723424d12781f55fc3
- Size of remote file:
- 517 MB
- SHA256:
- 9aa0591babf6ca74d9835d9357563896cad5ed3de234333ba3eade5c72b601e9
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