Update modeling_hf_nomic_bert.py (#12)
Browse files- Update modeling_hf_nomic_bert.py (966bc1b112d7b41a48e6395f9e722dc5e629a811)
modeling_hf_nomic_bert.py
CHANGED
@@ -1694,6 +1694,7 @@ class NomicBertModel(NomicBertPreTrainedModel):
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return_dict=None,
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matryoshka_dim=None,
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inputs_embeds=None,
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):
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if input_ids is not None and inputs_embeds is not None:
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raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time")
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@@ -1867,7 +1868,7 @@ class NomicBertForMultipleChoice(NomicBertPreTrainedModel):
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def __init__(self, config):
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super().__init__(config)
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-
self.
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classifier_dropout = (
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config.classifier_dropout if config.classifier_dropout is not None else config.hidden_dropout_prob
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)
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@@ -1910,7 +1911,7 @@ class NomicBertForMultipleChoice(NomicBertPreTrainedModel):
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else None
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)
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-
outputs = self.
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input_ids,
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attention_mask=attention_mask,
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token_type_ids=token_type_ids,
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return_dict=None,
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matryoshka_dim=None,
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inputs_embeds=None,
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+
head_mask=None,
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):
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if input_ids is not None and inputs_embeds is not None:
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raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time")
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def __init__(self, config):
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super().__init__(config)
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self.bert = NomicBertModel(config, add_pooling_layer=True)
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classifier_dropout = (
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config.classifier_dropout if config.classifier_dropout is not None else config.hidden_dropout_prob
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)
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else None
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)
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+
outputs = self.bert(
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input_ids,
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attention_mask=attention_mask,
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token_type_ids=token_type_ids,
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