Update README.md

README.md

@@ -7,21 +7,6 @@ sdk: static
 pinned: true
 license: bsd-3-clause
 short_description: Probabilistic modeling of single-cell omics data
-collections:
-  - name: SCANVI
-    description: "A collection of SCANVI models."
-  - name: SCVI
-    description: "A collection of SCVI models."
-  - name: TotalVI
-    description: "A collection of TotalVI models."
-  - name: DestVI
-    description: "A collection of DestVI models."
-  - name: Stereoscope
-    description: "A collection of Stereoscope models."
-display:
-  models: false
-  datasets: false
-layout: collections
 ---
 # **scvi-tools**
 
@@ -37,14 +22,19 @@ scvi-tools offers a comprehensive suite of models designed to address various ch
 ### **Current HubModels**
 - **[scVI](https://docs.scvi-tools.org/en/stable/user_guide/models/scvi.html)**:
   - A variational autoencoder for dimensionality reduction, batch correction, and clustering.
+  - See all models in [scVI collection](https://huggingface.co/collections/scvi-tools/scvi-673c2c0f2bf4163ef14d018d)
 - **[scANVI](https://docs.scvi-tools.org/en/stable/user_guide/models/scanvi.html)**:
   - A semi-supervised model designed for label prediction, especially in cases of partially labeled data.
+  - See all models at [scANVI collection](https://huggingface.co/collections/scvi-tools/scanvi-673c3a4aabddf849496e9079)
 - **[totalVI](https://docs.scvi-tools.org/en/stable/user_guide/models/totalvi.html)**:
   - A multi-modal model for joint analysis of RNA and protein data, additionally allowing imputation of missing protein data.
+  - See all models in [totalVI collection](https://huggingface.co/collections/scvi-tools/totalvi-673c3d67e2882005a1d180c1)
 - **[DestVI](https://docs.scvi-tools.org/en/stable/user_guide/models/destvi.html)**:
   - A deconvolution model for prediction of single-cell profiles given subcellular spatial transcriptomics data. We provide here pre-trained single cell models (CondSCVI).
+  - See all models in [DestVI collection](https://huggingface.co/collections/scvi-tools/destvi-673c3dbf537347953810a215)
 - **[Stereoscope](https://docs.scvi-tools.org/en/stable/user_guide/models/stereoscope.html)**:
   - A deconvolution model for prediction of cell-type composition given subcellular spatial transcriptomics data. We provide here pre-trained single cell models.
+  - See all models in [Stereoscope collection](https://huggingface.co/collections/scvi-tools/stereoscope-673c3ddcf1f9f7542b8819d6)
 
 Explore the full list of models in scvi-tools in our **[user guide](https://docs.scvi-tools.org/en/stable/user_guide/index.html)**.  
 Please reach out on [discourse](https://discourse.scverse.org), if you want to add additional models to HuggingFace.