Models

list_models

List all available models.

Vision Models

UNI	🤗Hugging Face GitHub Paper [Chen et al., 2024] General-purpose self-supervised model for pathology
UNI2	🤗Hugging Face GitHub Paper [Chen et al., 2024] An improved version of UNI
GigaPath	🤗Hugging Face GitHub Paper [Xu et al., 2024] A whole-slide foundation model for digital pathology
PLIPVision	🤗Hugging Face GitHub Paper [Huang et al., 2023] Pathology Language-Image Pretraining (PLIP)
CONCHVision	🤗Hugging Face GitHub Paper [Lu et al., 2024] CONtrastive learning from Captions for Histopathology (CONCH)
Virchow	🤗Hugging Face Paper [Vorontsov et al., 2024] A foundation model for clinical-grade computational pathology and rare cancers detection
Virchow2	🤗Hugging Face Paper [Zimmermann et al., 2024] Scaling self-supervised mixed magnification models in pathology
Phikon	🤗Hugging Face GitHub Paper [Filiot et al., 2023] Scaling self-Supervised Learning for histopathology with Masked Image Modeling
PhikonV2	🤗Hugging Face GitHub Paper [Filiot et al., 2024] A large and public feature extractor for biomarker prediction
HOptimus0	🤗Hugging Face GitHub [Saillard et al., 2024] Vision foundation model
HOptimus1	🤗Hugging Face GitHub [Bioptimus, 2025] Vision foundation model
H0Mini	🤗Hugging Face GitHub Paper [Filiot et al., 2025] A distilled version of H-optimus-0
HibouB	🤗Hugging Face GitHub Paper [Nechaev et al., 2024] A family of foundational vision transformers for pathology
HibouL	🤗Hugging Face GitHub Paper [Nechaev et al., 2024] A family of foundational vision transformers for pathology

Multimodal Models

PLIP	🤗Hugging Face GitHub Paper [Huang et al., 2023] Pathology Language-Image Pretraining (PLIP)
CONCH	🤗Hugging Face GitHub Paper [Lu et al., 2024] CONtrastive learning from Captions for Histopathology (CONCH)
Titan	🤗Hugging Face GitHub Paper [Ding et al., 2024] Multimodal whole slide foundation model for pathology
Prism	🤗Hugging Face Paper [Shaikovski et al., 2024] A multi-modal generative foundation model for slide-level histopathology, the Prism models encode slide-level embeddings from Virchow.
OmiCLIP	🤗Hugging Face GitHub Paper [Chen et al., 2025] A visual-omics foundation model to bridge histopathology with spatial transcriptomics

Segmentation Models

Instanseg	GitHub Paper [Goldsborough et al., 2024] An embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation.
NuLite	GitHub Paper [Tommasino et al., 2024] Nuclei instance segmentation and classification
GrandQCTissue	GitHub Paper [Weng et al., 2024] Tissue segmentation model from GrandQC
GrandQCArtifact	GitHub Paper [Weng et al., 2024] Artifact segmentation model from GrandQC
PathProfilerTissueSegmentation	GitHub Paper [Haghighat et al., 2022] Tissue segmentation model from PathProfiler
SMPBase	This is a base class for any models from segmentation models pytorch

Tile Prediction Models

SpiderBreast	🤗Hugging Face Tile prediction model on different organs
SpiderColorectal	🤗Hugging Face Tile prediction model on different organs
SpiderSkin	🤗Hugging Face Tile prediction model on different organs
SpiderThorax	🤗Hugging Face Tile prediction model on different organs

Tile Prediction Models (Computer vision features)

These models are based on OpenCV but provided with a model inferface.

Brightness	Calculate the brightness of a tile.
Canny	Calculate the canny edge detection score of a tile.
Contrast	Calculate the contrast of a tile.
Entropy	Calculate the entropy of a tile.
HaralickTexture	Calculate texture features using Gray Level Co-occurrence Matrix (GLCM).
Saturation	Calculate the color saturation of a tile.
Sharpness	Calculate the sharpness of a tile.
Sobel	Calculate the sobel of a tile.
SplitRGB	Calculate the RGB value of a tile.

Base Models

ModelBase
ImageModel
ImageTextModel
SegmentationModel
SlideEncoderModel
TilePredictionModel
TimmModel