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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vubacktracking/mamba_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from vubacktracking/mamba_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 165 Bytes
-
https://huggingface.co/vubacktracking/mamba_text_classification/resolve/main/config.json
- Command line
-
hf download hf://vubacktracking/mamba_text_classification/config.json
-
curl -L -o config.json https://huggingface.co/vubacktracking/mamba_text_classification/resolve/main/config.json
165 Bytes
| {"d_model": 768, "n_layer": 24, "vocab_size": 50277, "ssm_cfg": {}, "rms_norm": true, "residual_in_fp32": true, "fused_add_norm": true, "pad_vocab_size_multiple": 8} |