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Added note about top 200 genes for model training

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  1. README.md +11 -0
README.md CHANGED
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  # Overview
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  This is the C2S-Pythia-410m-cell-type-prediction model, based on the Pythia-410m architecture developed by EleutherAI,
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  fine-tuned using Cell2Sentence (C2S) on a diverse set of single-cell RNA sequencing (scRNA-seq) datasets from CellxGene
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  datasets from CellxGene and the Human Cell Atlas. This dataset covers a broad range of cell types and conditions
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  from multiple tissues in both human and mouse.
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  # Tasks
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  This model is designed for:
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  - Cell type prediction: Predicting the cell type based on the "cell sentence" generated from scRNA-seq data.
 
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+ ---
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+ language:
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+ - en
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+ base_model: EleutherAI/pythia-410m
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+ library_name: transformers
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+ tags:
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+ - biology
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+ - scRNAseq
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+ ---
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  # Overview
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  This is the C2S-Pythia-410m-cell-type-prediction model, based on the Pythia-410m architecture developed by EleutherAI,
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  fine-tuned using Cell2Sentence (C2S) on a diverse set of single-cell RNA sequencing (scRNA-seq) datasets from CellxGene
 
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  datasets from CellxGene and the Human Cell Atlas. This dataset covers a broad range of cell types and conditions
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  from multiple tissues in both human and mouse.
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+ This model was trained with the top 200 genes per cell sentence.
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+
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  # Tasks
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  This model is designed for:
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  - Cell type prediction: Predicting the cell type based on the "cell sentence" generated from scRNA-seq data.