Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos 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-cssl-msm-pos with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d696cec27c14c7eb0bbf472ec9a5fea53c721e7ebc1f6ead220050b01be2b557
- Size of remote file:
- 126 MB
- SHA256:
- 8c5c1342a8abbe21987b1ef3e75cb6d7cdb63e8f1e472862c7b46ca5a0906517
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.