Instructions to use Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso 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 with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-finbert-cls-v5_ftis_noPretrain_tdso", dtype="auto") - Notebooks
- Google Colab
- Kaggle
ht-finbert-cls-v5_ftis_noPretrain_tdso / runs /0-sample_rate=0.1 /events.out.tfevents.1743067631.luna.654575.0
- Xet hash:
- dfa5dc3a8298d6bce1b3eb9d925ac3bb5862ba3090d2b869fd1f15b95397b99b
- Size of remote file:
- 129 kB
- SHA256:
- 1c9b5259a5897524ace02df1dcb9b54e36d327bab0689ea5c9db42ab8187dcbe
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