Instructions to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c59eb2a482db44863ccb68fdb2c89006ae8f47cc476865f680c93b98c770f51
- Size of remote file:
- 5.3 kB
- SHA256:
- 1739e81395ca7a7284053650503a3f933da6d32da5f01c5172ea1d77282e88ec
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