Instructions to use vubacktracking/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vubacktracking/mamba_text_classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vubacktracking/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vubacktracking/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/vubacktracking/mamba_text_classification/resolve/c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/pytorch_model.bin
- Command line
-
hf download hf://vubacktracking/mamba_text_classification@c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vubacktracking/mamba_text_classification/resolve/c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/pytorch_model.bin
517 MB
- Xet hash:
- b994ae4616e7b8caba3c44401e3befee279c45058621c324938317c126c3a27a
- Size of remote file:
- 517 MB
- SHA256:
- b54c6e3b8fed53533b1ee2902703e601cbc7c1b42aefb5add8357885455836c0
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