Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-smlo-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-smlo-bml with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-smlo-bml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 114a12ce913a54131aab9fd0fe2cc3e29c58a83113bb6ea5a904fa6c4340c699
- Size of remote file:
- 126 MB
- SHA256:
- 80940cbb58ba86dd753a14a6b171a6b670f6715991d4846c4dbdef7003c73b58
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.