Instructions to use Arthur-Tsai/ht-stmpnet-cls-v5_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-stmpnet-cls-v5_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmpnet-cls-v5_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f2c673b67b539680b61d5f2f4b603a83a115ea40844d6bccbe0505854f5be09
- Size of remote file:
- 521 MB
- SHA256:
- f21dc42495f99547b0e892c2b578addb6cb91c914871bba96edee84570913565
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