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:
- b8418c946160488a563254f92a6a6c7a61f16d03650d0a120e46b808e6a7ee94
- Size of remote file:
- 126 MB
- SHA256:
- 3742f6cf75a9eafa2b8d5794dd3496942a8cb26a7bb703335deceadaf3adcc77
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