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:
- 64774577a359df40841164c6aeea4d89cecdedd02803f5c78392b1c9f0d0b7e3
- Size of remote file:
- 5.3 kB
- SHA256:
- 05f01c8528ad85cf7a5a83d9575f09856045e02c64b6b0c3420d340cfd855111
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