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:
- dba1e1ec0b4468e4af35171e1ff828529f89bf8793873589b503b09d27ca0637
- Size of remote file:
- 126 MB
- SHA256:
- d8c0c05f93023ac439bf3f08cd2cb552a7b0fba405c2df9b0432d66424d1e205
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