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 training_args.bin from vubacktracking/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/vubacktracking/mamba_text_classification/resolve/c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/training_args.bin
- Command line
-
hf download hf://vubacktracking/mamba_text_classification@c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vubacktracking/mamba_text_classification/resolve/c5d04dfd73c00a0f9783f39daeaae23ee4ac63ff/training_args.bin
4.98 kB
- Xet hash:
- ec418663f5ec3878812d62cf0c127de4850717a910c666031346f02e09b2354f
- Size of remote file:
- 4.98 kB
- SHA256:
- dfbff84bed30f3ebbe9bfb0801fcd48168fb748621288c574403d35078ac9e9d
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