Instructions to use Arthur-Tsai/histv4_ftis_pretrain_smlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_pretrain_smlm with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_pretrain_smlm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e104234a0d282faf9667a553a004974cc83f710f0d61ac4c4a1d9c21037560e
- Size of remote file:
- 5.24 kB
- SHA256:
- 727d51f80b76f63d8832d9d5950dfa549c16588bdbd8990acacbe2d54751e19e
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