Commit
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c96324e
1
Parent(s):
8138459
commit files to HF hub
Browse files- config.json +1 -1
- srl.py +3 -11
- tokenizer_config.json +1 -0
config.json
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@@ -1,5 +1,5 @@
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{
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"_name_or_path": "
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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{
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"_name_or_path": "liaad/propbank_br_srl_albertina_900m_portuguese_ptpt_encoder",
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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srl.py
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@@ -38,17 +38,7 @@ class SRLPipeline(Pipeline):
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current_word = word_id
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label = -100 if word_id is None else labels[word_id]
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new_labels.append(label)
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elif word_id is None:
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# Special token
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new_labels.append(-100)
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else:
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"""
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# Same word as previous token
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label = labels[word_id]
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# If the label is B-XXX we change it to I-XXX
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if label % 2 == 1:
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label += 1
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"""
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new_labels.append(-100)
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results.append(new_labels)
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@@ -121,8 +111,10 @@ class SRLPipeline(Pipeline):
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if label != -100:
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true_predictions.append(self.label_names[prediction])
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outputs.append({
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"tokens":
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"predictions": true_predictions,
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"verb": self.verbs[i]
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})
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current_word = word_id
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label = -100 if word_id is None else labels[word_id]
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new_labels.append(label)
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else:
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new_labels.append(-100)
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results.append(new_labels)
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if label != -100:
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true_predictions.append(self.label_names[prediction])
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doc = self.nlp(self.text.strip())
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outputs.append({
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"tokens": [token.text for token in doc],
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"predictions": true_predictions,
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"verb": self.verbs[i]
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})
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tokenizer_config.json
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@@ -1,4 +1,5 @@
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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{
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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