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
ht-stmini-mean-v5_ftis_noPretrain / runs /0-sample_rate=0.2 /events.out.tfevents.1742195044.yara2.347192.0
- Xet hash:
- 0150ae869e543fdb58c74b9881e372a27daaf94052a578ad44a1f2c8ecb494dd
- Size of remote file:
- 353 kB
- SHA256:
- 7cd9af68b3aa7363cbd446718e477bfac6a97e7868976ceeb654c9bd72d37150
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