Instructions to use Arthur-Tsai/histv4_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64a49541c01d689bd52665ba0a2220ac8cbe5483281d798d429b38b763655dac
- Size of remote file:
- 452 kB
- SHA256:
- 9add7fcf01ff9e97b964448026cb3fa97aa67894815a9d68ba9d5ecc4cd9889d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.