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:
- cfe0df5ce2855daaa385082b3412b9f3ffdc0b2d1c59bd8fc50da1ffdb1861cf
- Size of remote file:
- 1.06 kB
- SHA256:
- 8da8c17ccc240f668d4b9a96b740632b93c2ed29efdffbc55d0f1239977b58ad
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