Instructions to use aTunass/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aTunass/mamba_text_classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aTunass/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aTunass/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/aTunass/mamba_text_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aTunass/mamba_text_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aTunass/mamba_text_classification/resolve/main/pytorch_model.bin
517 MB
- Xet hash:
- b9fa0ab72b95b2c599858904993cc2399fdb1ef5303bc4b18f7c9b28785c8c45
- Size of remote file:
- 517 MB
- SHA256:
- 0995202d6d0f3c252d085fa1fe0001e89dfd34f315feba2630eb7323746cb6a5
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