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Upload README.md with huggingface_hub

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  1. README.md +9 -9
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@@ -6,8 +6,8 @@ tags:
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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:0.20.0
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- - anndata_version:0.8.0
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  - modality:rna
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  - tissue:Eye
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  - annotated:True
@@ -15,7 +15,7 @@ tags:
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  # Description
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- Tabula sapiens. An across organ dataset of cell-types in human tissues.
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  # Model properties
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@@ -52,11 +52,11 @@ Many model properties are in the model tags. Some more are listed below.
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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 | 34766 |
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  | n_extra_categorical_covs | 0 |
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  | n_extra_continuous_covs | 0 |
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- | n_labels | 18 |
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  | n_latent_qzm | 20 |
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  | n_latent_qzv | 20 |
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  | n_vars | 4000 |
@@ -85,14 +85,14 @@ to host on the huggingface Model hub.
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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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- Training data url: https://zenodo.org/api/files/fd2c61e6-f4cd-4984-ade0-24d26d9adef6/TS_Eye_filtered.h5ad
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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: https://github.com/scvi-hub-references/tabula_sapiens/main.py
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  # References
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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
 
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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:1.1.0
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+ - anndata_version:0.10.3
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  - modality:rna
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  - tissue:Eye
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  - annotated:True
 
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  # Description
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+ To be added...
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  # Model properties
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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 | 5 |
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+ | n_cells | 10626 |
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  | n_extra_categorical_covs | 0 |
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  | n_extra_continuous_covs | 0 |
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+ | n_labels | 27 |
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  | n_latent_qzm | 20 |
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  | n_latent_qzv | 20 |
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  | n_vars | 4000 |
 
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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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+ 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...