Delete modeling_codet5p_matching.py

modeling_codet5p_matching.py

@@ -1,28 +0,0 @@
-# coding=utf-8
-# Copyright 2023 Salesforce authors, The EleutherAI, and HuggingFace Teams. All rights reserved.
-""" PyTorch CodeT5+ matching models.
-The implementation is based on transformers.models.t5.modeling_t5 by adding a projection layer on T5EncoderModel
-"""
-
-from typing import Optional, Tuple, Union
-import torch
-from torch import nn
-import torch.nn.functional as F
-from transformers import T5ForConditionalGeneration
-from transformers.modeling_outputs import (
-    BaseModelOutput,
-)
-from configuration_codet5p_matching import CodeT5pMatchingConfig
-
-
-class CodeT5pMatchingModel(T5ForConditionalGeneration):
-    config_class = CodeT5pMatchingConfig
-
-    authorized_missing_keys = [
-        r"encoder.embed_tokens.weight",
-    ]
-
-    def __init__(self, config: CodeT5pMatchingConfig):
-        super().__init__(config)
-        self.proj = nn.Linear(config.d_model, config.embed_dim)
-        self.itm_head = nn.Linear(config.d_model, 2)