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Upload README.md with huggingface_hub
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README.md
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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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# Description
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scVI model trained on synthetic IID data and uploaded with the full training data.
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# Model properties
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Many model properties are in the model tags. Some more are listed below.
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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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**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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**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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**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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**model_parent_module**: scvi.model
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**data_is_minified**: False
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# Training data
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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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<!-- 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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Training data url: N/A
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# Training code
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This is an optional link to the code used to train the model.
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Training code url: N/A
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# References
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To be added...
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