Instructions to use fabda/nucount with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fabda/nucount with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="fabda/nucount")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fabda/nucount", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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#### References
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- [1] Stardist Project:[Github](https://github.com/stardist/stardist)
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- [2] Stardist Paper : [ArXiv](https://arxiv.org/abs/1908.03636)
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- [3] NuCount Training Dataset : [Zenodo](https://)
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- [4] NuCount Github Project: [Github](https://github.com/andysaurin/3DL_NuCount/)
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#### References
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- [1] Stardist Project: [Github](https://github.com/stardist/stardist)
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- [2] Stardist Paper : [ArXiv](https://arxiv.org/abs/1908.03636)
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- [3] NuCount Training Dataset : [Zenodo](https://)
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- [4] NuCount Github Project: [Github](https://github.com/andysaurin/3DL_NuCount/)
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