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.1743147291.luna.654575.1
- Xet hash:
- 5670c8762852426289af392d96dc209267a6d3757b4405a0a21fc3e42957fe6a
- Size of remote file:
- 463 Bytes
- SHA256:
- 46a1691fd47ef03ddd3b0db7f9aa035171edf86aa53e91f8652838b437690a40
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