Instructions to use Arthur-Tsai/ht-stmpnet-cls-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-stmpnet-cls-v5_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmpnet-cls-v5_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 475b616dbf5108f16bdf41bd759d2be9fb9ff296c1eeeeadfc6d041ec6f146c4
- Size of remote file:
- 5.3 kB
- SHA256:
- 1b12b144ec0f88c16edbf1fcde97d6e52b330b8cb68f96f85656142be03211ca
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