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README.md
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- pytorch_model_hub_mixin
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- pytorch_model_hub_mixin
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## Website
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<https://gsfm.maayanlab.cloud/>
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## Usage
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```python
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import torch
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vocab = Vocab.from_pretrained('maayanlab/gsfm')
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model = GSFM.from_pretrained('maayanlab/gsfm')
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# convert gene symbols into token ids
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token_ids = torch.tensor(vocab(['ACE1', 'ACE2']))[None, :]
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# use model to predict missing genes from the set
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logits = torch.squeeze(model(token_ids))
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top_10 = sorted(zip(logits, vocab.vocab))[-10:]
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top_10
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# get gene embedding
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gene_embeddings = model.embedding(token_ids)
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gene_embeddings
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# get model middle layer
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gene_set_encoding = model.encode(token_ids)
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gene_set_encoding
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```
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