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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:SCANVI
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+ - scvi_version:1.0.0
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+ - anndata_version:0.9.1
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+ - modality:rna
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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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+ Human scANVI reference model
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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": 10,
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+ "n_layers": 2,
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+ "dropout_rate": 0.1,
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+ "dispersion": "gene",
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+ "gene_likelihood": "nb",
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+ "linear_classifier": false,
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+ "latent_distribution": "normal"
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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": "ct_fine",
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+ "unlabeled_category": "Unknown",
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+ "layer": "counts",
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+ "batch_key": "batch",
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+ "size_factor_key": null,
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+ "categorical_covariate_keys": null,
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+ "continuous_covariate_keys": 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_batch  |  6  |
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+ |  n_cells  | 2323  |
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+ | n_extra_categorical_covs |  0  |
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+ | n_extra_continuous_covs  |  0  |
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+ |  n_labels  |  15  |
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+ |  n_vars  | 3000  |
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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.layers['counts']  |
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+ |  batch  | adata.obs['_scvi_batch']  |
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+ |  labels  | adata.obs['_scvi_labels'] |
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+
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+ **model_parent_module**: https://zenodo.org/records/10669600/files/32_human_adata.h5ad?download=1
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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://github.com/brickmanlab/proks-salehin-et-al
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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: N/A
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+
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+ # References
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+
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+ Proks, Salehin et al., biorXiv