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  This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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  - Library: [More Information Needed]
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- - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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  - Library: [More Information Needed]
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+ - Docs: [More Information Needed]
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+
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+ ### How to use
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+
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+ Until its next release, the transformers library needs to be installed from source with the following command in order to use the models.
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+ PyTorch should also be installed.
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+
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+ ```
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+ pip install --upgrade git+https://github.com/huggingface/transformers.git
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+ pip install torch
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+ ```
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+
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+ A small snippet of code is given here in order to infer with the model from random input.
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+
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+ ```
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+ import torch
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+ from transformers import AutoModel
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+
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+ model = AutoModel.from_pretrained(
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+ "InstaDeepAI/sCellTransformer",
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+ trust_remote_code=True,
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+ )
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+ num_cells = model.config.num_cells
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+ dummy_gene_expressions = torch.randint(0, 5, (1, 19968 * num_cells))
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+ torch_output = model(dummy_gene_expressions)
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+ ```