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:
- 5160ca2ad5056d1b6859210c3e3ca203206fe3344428631caa2f6ffd773edd0d
- Size of remote file:
- 470 Bytes
- SHA256:
- cb5b8a09a71e76eed0d359401f359983126104b333a4fa2e22d8209b01e7c6be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.