default in __init__s for classification BERT models (#650)

default in inits for classification BERT models (#650)
96592b54 · Victor SANH · GitHub · 4cda86b0 · 96592b54
Unverified Commit 96592b54 authored May 30, 2019 by Victor SANH Committed by GitHub May 30, 2019
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pytorch_pretrained_bert/modeling.py pytorch_pretrained_bert/modeling.py +3 -3

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--- a/pytorch_pretrained_bert/modeling.py
+++ b/pytorch_pretrained_bert/modeling.py
@@ -980,7 +980,7 @@ class BertForSequenceClassification(BertPreTrainedModel):
    logits = model(input_ids, token_type_ids, input_mask)
    ```
    """
-    def __init__(self, config, num_labels):
+    def __init__(self, config, num_labels=2):
        super(BertForSequenceClassification, self).__init__(config)
        self.num_labels = num_labels
        self.bert = BertModel(config)
@@ -1045,7 +1045,7 @@ class BertForMultipleChoice(BertPreTrainedModel):
    logits = model(input_ids, token_type_ids, input_mask)
    ```
    """
-    def __init__(self, config, num_choices):
+    def __init__(self, config, num_choices=2):
        super(BertForMultipleChoice, self).__init__(config)
        self.num_choices = num_choices
        self.bert = BertModel(config)
@@ -1115,7 +1115,7 @@ class BertForTokenClassification(BertPreTrainedModel):
    logits = model(input_ids, token_type_ids, input_mask)
    ```
    """
-    def __init__(self, config, num_labels):
+    def __init__(self, config, num_labels=2):
        super(BertForTokenClassification, self).__init__(config)
        self.num_labels = num_labels
        self.bert = BertModel(config)