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:
- 184808b00d1406ed1001fddf44f382eb3c578a022bb232f21ce138e7e6093e27
- Size of remote file:
- 531 MB
- SHA256:
- 747a25a9b9699be91361ded821ab1868259ff076b03e5c80c38d6343cfc18658
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