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README.md

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+---
+license: cc-by-4.0
+library_name: scvi-tools
+tags:
+- biology
+- genomics
+- single-cell
+- model_cls_name:CondSCVI
+- scvi_version:0.20.0b1
+- anndata_version:0.8.0
+- modality:rna
+- tissue:Fat
+- annotated:True
+---
+
+# Description
+
+Tabula sapiens. An across organ dataset of cell-types in human tissues.
+
+# Model properties
+
+Many model properties are in the model tags. Some more are listed below.
+
+**model_init_params**:
+```json
+{
+    "n_hidden": 128,
+    "n_latent": 5,
+    "n_layers": 2,
+    "weight_obs": false,
+    "dropout_rate": 0.05
+}
+```
+
+**model_setup_anndata_args**:
+```json
+{
+    "labels_key": "cell_ontology_class",
+    "layer": null
+}
+```
+
+**model_summary_stats**:
+| Summary Stat Key | Value |
+|------------------|-------|
+|     n_cells      | 20259 |
+|     n_labels     |  12   |
+|      n_vars      | 4000  |
+
+**model_data_registry**:
+| Registry Key |    scvi-tools Location    |
+|--------------|---------------------------|
+|      X       |          adata.X          |
+|    labels    | adata.obs['_scvi_labels'] |
+
+**model_parent_module**: scvi.model
+
+**data_is_minified**: False
+
+# Training data
+
+This is an optional link to where the training data is stored if it is too large
+to host on the huggingface Model hub.
+
+<!-- If your model is not uploaded with any data (e.g., minified data) on the Model Hub, then make
+sure to provide this field if you want users to be able to access your training data. See the scvi-tools
+documentation for details. -->
+
+Training data url: https://zenodo.org/api/files/c676cd14-97a7-4ea6-ba70-2c7faa1d61d8/Fat_training_data.h5ad
+
+# Training code
+
+This is an optional link to the code used to train the model.
+
+Training code url: https://github.com/scvi-hub-references/tabula_sapiens/main.py
+
+# References
+
+The Tabula Sapiens: A multi-organ, single-cell transcriptomic atlas of humans. The Tabula Sapiens Consortium. Science 2022.05.13; doi: https: //doi.org/10.1126/science.abl4896