Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-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-cssl-msm-bml with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-bml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6ca5ce9aa7cb47dc06b8f80e4e6bf8fcde2a6f032981b9eaab00c59a4c92fa4
- Size of remote file:
- 126 MB
- SHA256:
- e38a9bc9aaa6a12d707d13de97b5e508ce1c13c86d8236b7ac3846bfe651686a
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