PoultryCaduceus

1
license:mit
by
jamie0315
Embedding Model
OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

Load modelpythonpytorch
import torch

# DNA vocabulary
DNA_VOCAB = {'A': 7, 'C': 8, 'G': 9, 'T': 10, 'N': 5, '[MASK]': 4}

# Tokenize sequence
sequence = "ATGCGATCGATCGATCG"
input_ids = torch.tensor([[DNA_VOCAB.get(c, 5) for c in sequence]])

# Get embeddings
model.eval()
with torch.no_grad():
    outputs = model(input_ids, output_hidden_states=True)
    embeddings = outputs.hidden_states[-1]  # (batch, seq_len, 256)

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