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:
- 662270d6fae3d493ec5d31b9e0c05ea8f991200e28a1c060a8398ab5b9b0763f
- Size of remote file:
- 5.37 kB
- SHA256:
- 781abf4a629d2f018dd57e8db76d80f2eebfdc1e0b00995cd23c717263b1fbe3
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