Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-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-msm-pos with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-pos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9690b96ddd432e717fe10b3fb0fff4dad8f0be911818ab3c497054c4b2529771
- Size of remote file:
- 436 MB
- SHA256:
- a7c46dcd04346bb6bbcebcd0c9a0443e8d48ef9c4e105d6ca7a7be63f1510c2f
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