Image Feature Extraction
timm
Safetensors
microscopy
single-cell
self-supervised
dinov2
vision-transformer
biology
Instructions to use CSEM-AI4LS/scdino-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use CSEM-AI4LS/scdino-v2-base with timm:
import timm model = timm.create_model("hf-hub:CSEM-AI4LS/scdino-v2-base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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See the README of the code repository, https://github.com/JonasMeirer/scDINOv2, for how to load the model,
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preprocess crops and evaluate embeddings.
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## Limitations
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Usage on images from other microscopes, stains, cells or crop sizes might need new normalization statistics and retraining.
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**Not a diagnostic tool, and not for clinical use.**
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See the README of the code repository, https://github.com/JonasMeirer/scDINOv2, for how to load the model,
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preprocess crops and evaluate embeddings.
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Usage on images from other microscopes, stains, cells or crop sizes might need new normalization statistics and retraining.
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**Not a diagnostic tool, and not for clinical use.**
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