Delete configuration_emcoder.py

configuration_emcoder.py

@@ -1,34 +0,0 @@
-from transformers import PretrainedConfig
-
-
-class EmCoderConfig(PretrainedConfig):
-    model_type = "emcoder"
-
-    def __init__(
-        self,
-        vocab_size=50265,
-        max_seq_len=512,
-        d_model=768,
-        n_head=12,
-        n_layers=6,
-        d_ffn=3072,
-        dropout=0.1,
-        num_labels=28,
-        base_encoder_path="",
-        id2label=None,
-        label2id=None,
-        **kwargs,
-    ):
-        if id2label is not None:
-            id2label = {int(k): v for k, v in id2label.items()}
-
-        super().__init__(id2label=id2label, label2id=label2id, **kwargs)
-        self.vocab_size = vocab_size
-        self.max_seq_len = max_seq_len
-        self.d_model = d_model
-        self.n_head = n_head
-        self.n_layers = n_layers
-        self.d_ffn = d_ffn
-        self.dropout = dropout
-        self.num_labels = num_labels
-        self.base_encoder_path = base_encoder_path