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Quantized Batch Inference Function

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Quantized Batch Inference Function has 2 facts recorded in Dontopedia across 1 reference.

2 facts·2 predicates·1 sources
Maturity scale raw canonical shape-checked rule-derived certified

Other facts (2)

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2 facts
PredicateValueRef
Usestorch.no_grad[1]
ReturnsLast Hidden State[1]

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2 undated
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usesbeam/b65d8879-3b31-446c-91ba-6679ed148ded
torch.no_grad
—
returnsbeam/b65d8879-3b31-446c-91ba-6679ed148ded
ex:last-hidden-state

References (1)

1 references
  1. [1]B65d8879 3b31 446c 91ba 6679ed148ded2 facts
    ctx:claims/beam/b65d8879-3b31-446c-91ba-6679ed148ded
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b65d8879-3b31-446c-91ba-6679ed148ded
      Show excerpt
      inputs = {k: v.to(device) for k, v in inputs.items()} # Perform inference with torch.no_grad(): outputs = quantized_model(**inputs) # Return the output return outputs.last_hidden_state[:, 0, :] # Test the quanti…

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