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README.md
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---
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tags:
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- self-supervised-learning
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- contrastive-learning
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- neuroimaging
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- fMRI
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- rs-fMRI
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- neuroscience
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- representation-learning
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- domain-generalization
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- transfer-learning
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- pytorch
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library_name: transformers
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pipeline_tag: feature-extraction
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inference: false
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snippets:
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- torch: |
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from transformers import AutoModel
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model = AutoModel.from_pretrained("SaeedLab/NeuroCLR", trust_remote_code=True)
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---
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# NeuroCLR
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---
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tags:
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- self-supervised-learning
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- neuroimaging
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- fMRI
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library_name: transformers
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pipeline_tag: feature-extraction
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inference: false # This removes the "Hosted Inference" text box that doesn't work for fMRI
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snippets:
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- torch: |
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from transformers import AutoModel
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import torch
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# Load the NeuroCLR SSL Encoder
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model = AutoModel.from_pretrained("SaeedLab/NeuroCLR", trust_remote_code=True)
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# Input: [batch, 1, 128] (raw fMRI time series)
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x = torch.randn(1, 1, 128)
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outputs = model(x)
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print(outputs["h"].shape) # [1, 128]
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---
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# NeuroCLR
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