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
ht-finbert-cls-v5_ftis_noPretrain_tdso-smlo / runs /0-sample_rate=0.1 /events.out.tfevents.1742613035.yara2.1960216.0
- Xet hash:
- ed037516a1fc991e35fc39123cfd0acb7049532a35114b9a5dc45527afb8f21e
- Size of remote file:
- 163 kB
- SHA256:
- b3385b4a263a12cfe80a914b5ef01e6bd995e5d45da33373b0ce890112cd44db
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