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:
- 8029b39a4b0d41296f732a00b3ba3f398b22ac05e088cbc801dba5aeab2b6daf
- Size of remote file:
- 126 MB
- SHA256:
- 86f47a3ef3bc7f2318bb32fa58ffb65447684992949c5888aa1d79199fc0cba4
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