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:
- 30d29be51b6a2e27042bff18752f22e83789db8362bb56d29498c8839c483a8f
- Size of remote file:
- 531 MB
- SHA256:
- b527d02c492b589133c6d43b79f3e533a698d1e9a1581f4cb6ef8653fbcca72c
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