Instructions to use Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329 with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_pretrain_tssp-smlm_0329", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 103246c71cae9e6f2dce5fdfbe2e5e7115c3213563408733a0acefab836735a6
- Size of remote file:
- 5.3 kB
- SHA256:
- 4f9bf27fdba0701f018dea99c66ed586d2fa0a004c3d68f5c9b7b9fea1b0c362
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