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README.md
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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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inference: false
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snippets:
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from transformers import AutoModel
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import torch
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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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- self-supervised-learning
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- neuroimaging
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- fMRI
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- pytorch
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library_name: transformers
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inference: false
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snippets:
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from transformers import AutoModel
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import torch
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# Load NeuroCLR directly (the pipeline block should now be gone)
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model = AutoModel.from_pretrained("SaeedLab/NeuroCLR", trust_remote_code=True)
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# Input shape: [batch, 1, 128]
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x = torch.randn(1, 1, 128)
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outputs = model(x)
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---
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# NeuroCLR
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