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
ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos / runs /0-by=2006-psr=0.25 /events.out.tfevents.1747113567.yara2.2696447.0
- Xet hash:
- c26e9cad8331f0d8393226f5e96ce6792d2527bbe1e3d8e2a940411d81594208
- Size of remote file:
- 329 kB
- SHA256:
- 93f012696af1281737a3f9f6db84f5ce8ff71d7a8d65ecafec3ba04fd68fa9ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.