Instructions to use Arthur-Tsai/ht-stmini-mean-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-stmini-mean-v5_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-mean-v5_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad1bc8170bff8d171662994e8435211295d31f7b9526876a68736d97a0df1539
- Size of remote file:
- 125 MB
- SHA256:
- fed31d0d94828592cc9bfa441325d05d2ea0af114aef2a0e9fcbc566f20553d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.