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:
- a38d6c48ecc5c9ea2871c87b0497caf147b9aa03583d14e891f8d2188987c677
- Size of remote file:
- 5.3 kB
- SHA256:
- 4295b98ae0f74518317288cc4f6bfac86dc3cc7e46d3e3f52f35391bccfa330f
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