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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:SCVI
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+ - scvi_version:1.1.3
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+ - anndata_version:0.10.7
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+ - modality:rna
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+ - annotated:False
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+ ---
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+
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+ # Description
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+
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+ scVI model trained on synthetic IID data and uploaded with the full training data.
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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": 1,
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+ "dropout_rate": 0.1,
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+ "dispersion": "gene",
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+ "gene_likelihood": "zinb",
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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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+ "layer": null,
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+ "batch_key": null,
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+ "labels_key": null,
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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 | 1 |
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+ | n_cells | 400 |
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+ | n_extra_categorical_covs | 0 |
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+ | n_extra_continuous_covs | 0 |
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+ | n_labels | 1 |
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+ | n_vars | 100 |
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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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+ | 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**: 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
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+ scvi-tools documentation for details. -->
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+
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+ Training data url: N/A
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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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+ To be added...