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:
- 6f22b7da751bd284b0ca91b9ab9eeda012becd7b8dea35f6193bd7a5180d0900
- Size of remote file:
- 521 MB
- SHA256:
- ff48fb1e33fb1cf5b46c20c7b2ac6cb73bce59b397f819aeb80bdc09de8c7e84
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