Method: Informers::TextClassificationPipeline#call

Defined in:
lib/informers/pipelines.rb

#call(texts, top_k: 1) ⇒ Object 



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# File 'lib/informers/pipelines.rb', line 47

def call(texts, top_k: 1)
  # Run tokenization
  model_inputs = @tokenizer.(texts,
    padding: true,
    truncation: true
  )

  # Run model
  outputs = @model.(model_inputs)

  function_to_apply =
    if @model.config[:problem_type] == "multi_label_classification"
      ->(batch) { Utils.sigmoid(batch) }
    else
      ->(batch) { Utils.softmax(batch) } # single_label_classification (default)
    end

  id2label = @model.config[:id2label]

  to_return = []
  outputs.logits.each do |batch|
    output = function_to_apply.(batch)
    scores = Utils.get_top_items(output, top_k)

    vals = scores.map do |x|
      {
        label: id2label[x[0].to_s],
        score: x[1]
      }
    end
    if top_k == 1
      to_return.concat(vals)
    else
      to_return << vals
    end
  end

  texts.is_a?(Array) ? to_return : to_return[0]
end