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Upload README.md with huggingface_hub

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+ ---
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+ license: cc-by-4.0
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+ library_name: scvi-tools
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+ tags:
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+ - biology
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+ - genomics
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+ - single-cell
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+ - model_cls_name:CondSCVI
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+ - scvi_version:0.20.0b1
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+ - anndata_version:0.8.0
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+ - modality:rna
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+ - tissue:Bone_Marrow
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+ - annotated:True
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+ ---
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+
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+ # Description
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+
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+ Tabula sapiens. An across organ dataset of cell-types in human tissues.
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+
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+ # Model properties
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+
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+ Many model properties are in the model tags. Some more are listed below.
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+
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+ **model_init_params**:
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+ ```json
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+ {
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+ "n_hidden": 128,
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+ "n_latent": 5,
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+ "n_layers": 2,
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+ "weight_obs": false,
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+ "dropout_rate": 0.05
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+ }
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+ ```
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+
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+ **model_setup_anndata_args**:
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+ ```json
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+ {
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+ "labels_key": "cell_ontology_class",
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+ "layer": null
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+ }
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+ ```
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+
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+ **model_summary_stats**:
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+ | Summary Stat Key | Value |
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+ |------------------|-------|
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+ | n_cells | 12293 |
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+ | n_labels | 14 |
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+ | n_vars | 4000 |
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+
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+ **model_data_registry**:
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+ | Registry Key | scvi-tools Location |
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+ |--------------|---------------------------|
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+ | X | adata.X |
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+ | labels | adata.obs['_scvi_labels'] |
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+
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+ **model_parent_module**: scvi.model
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+
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+ **data_is_minified**: False
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+
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+ # Training data
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+
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+ This is an optional link to where the training data is stored if it is too large
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+ to host on the huggingface Model hub.
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+
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+ <!-- If your model is not uploaded with any data (e.g., minified data) on the Model Hub, then make
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+ sure to provide this field if you want users to be able to access your training data. See the scvi-tools
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+ documentation for details. -->
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+
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+ Training data url: https://zenodo.org/api/files/c676cd14-97a7-4ea6-ba70-2c7faa1d61d8/Bone_Marrow_training_data.h5ad
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+
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+ # Training code
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+
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+ This is an optional link to the code used to train the model.
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+
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+ Training code url: https://github.com/scvi-hub-references/tabula_sapiens/main.py
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+
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+ # References
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+
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+ 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