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:
- 0fb647df0cc29a2142992760fa5d9b9520d4fe2a9d0817a07d88961e87616c6e
- Size of remote file:
- 5.3 kB
- SHA256:
- c776e2dabbc9a02740a07e2008b770b0a8a14e9fe4876abb6ab433f1afc8fc1a
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