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 training_args.bin from aTunass/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/aTunass/mamba_text_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://aTunass/mamba_text_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aTunass/mamba_text_classification/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9e343e5535fd708e2d98da3248b42b198faca1d1e6417246853098e2be96ae0b
- Size of remote file:
- 4.92 kB
- SHA256:
- 614dacb31aad96d34bbc0330b1bb0be516309e6d1874e04d5911b3708d9b6317
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