Instructions to use Arthur-Tsai/ht-stmini-cls-v7_ftis_pretrain-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-v7_ftis_pretrain-cssl-msm-bml with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v7_ftis_pretrain-cssl-msm-bml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cdf10725f7c67ae4f3a193047f2ed4a65b57bb784d991975d920188612cc7bd
- Size of remote file:
- 126 MB
- SHA256:
- 31145c9138a4a84ea2edb6a5eee2743f364688d8524c85e0fa4c0f63c81dc099
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