Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-bml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-bml with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-bml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12fb7c0563e6919b2ef728b5f4dcc949fa95f54b2066d272b344c577afabc022
- Size of remote file:
- 126 MB
- SHA256:
- 3fab66dbe6a229b2b8b8e4637fda810d2f756d93405d4760abbfe8847d1d1ac8
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