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.1742205989.yara2.347192.1
- Xet hash:
- 4cd375b64c95722993442408a49161a86d561405630f8211715b400f0a509372
- Size of remote file:
- 470 Bytes
- SHA256:
- 0b5a55f180ac94fd0ebadf8310a0444798d11d76d04721c3b008841ed507f2e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.