Update README.md

README.md

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 - pytorch_model_hub_mixin
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+# sCellTransformer
+
+[sCellTransformer](https://openreview.net/forum?id=VdX9tL3VXH) (sCT) is a long-range foundation model designed for zero-shot prediction tasks 
+in single-cell RNA-seq and spatial transcriptomics data. It processes raw gene expression profiles across multiple cells to predict discretized 
+gene expression levels for unseen cells without retraining. The model handles up to 20,000 protein-coding genes and outputs around a million 
+gene expression tokens, mitigating the sparsity typical in single-cell datasets.
+
+**Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI)
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [Nucleotide Transformer](https://github.com/instadeepai/nucleotide-transformer)
+- **Paper:** [A long range foundation model for zero-shot predictions in single-cell and spatial transcriptomics data](https://openreview.net/pdf?id=VdX9tL3VXH)
+  
+
 ### How to use
 
 Until its next release, the transformers library needs to be installed from source with the following command in order to use the models.