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 training_args.bin from badrabbitt/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/badrabbitt/mamba_text_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://badrabbitt/mamba_text_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/badrabbitt/mamba_text_classification/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 848aa652d5bca0940026065ca3a32b0c0871e69a37c510ba8a32dd8f4129158a
- Size of remote file:
- 4.98 kB
- SHA256:
- 9935e08b05f28380a32a343f90e607267a43e0221985a0697c41e7719d887116
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