Instructions to use badrabbitt/mamba_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badrabbitt/mamba_text_classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("badrabbitt/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from badrabbitt/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 517 MB
-
https://huggingface.co/badrabbitt/mamba_text_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://badrabbitt/mamba_text_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/badrabbitt/mamba_text_classification/resolve/main/pytorch_model.bin
517 MB
- Xet hash:
- 2baf3ee50f181b72fcca49c104c4e38846220caa4011ae0e0fadfe5a0a7e0d68
- Size of remote file:
- 517 MB
- SHA256:
- c9212a3f8e9318a66f1e95c7841a0fb9c9a96925c725a746a1c13fac2bc11101
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