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configuration_aero.py

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+# coding=utf-8
+# Copyright 2024 HuggingFace Inc. team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+from transformers.configuration_utils import PretrainedConfig
+from transformers.models.auto import CONFIG_MAPPING, AutoConfig
+from transformers.utils import logging
+
+logger = logging.get_logger(__name__)
+
+
+class AeroConfig(PretrainedConfig):
+    model_type = "aero"
+    sub_configs = {
+        "text_config": AutoConfig,
+        "audio_config": AutoConfig,
+    }
+
+    def __init__(
+        self,
+        text_config=None,
+        audio_config=None,
+        audio_token_index=151648,
+        tie_word_embeddings=False,
+        **kwargs,
+    ):
+        self.audio_token_index = audio_token_index
+
+        if isinstance(text_config, dict):
+            text_config["model_type"] = (
+                text_config["model_type"] if "model_type" in text_config else "qwen2"
+            )
+            text_config = CONFIG_MAPPING[text_config["model_type"]](**text_config)
+        elif text_config is None:
+            text_config = AutoConfig.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")
+
+        self.text_config = text_config
+
+        if isinstance(audio_config, dict):
+            audio_config["model_type"] = (
+                audio_config["model_type"]
+                if "model_type" in audio_config
+                else "qwen2_audio_encoder"
+            )
+            audio_config = CONFIG_MAPPING[audio_config["model_type"]](**audio_config)
+        elif audio_config is None:
+            audio_config = CONFIG_MAPPING["qwen2_audio_encoder"](
+                d_model=1280,
+                encoder_attention_heads=20,
+                encoder_ffn_dim=5120,
+                encoder_layerdrop=0.0,
+                encoder_layers=32,
+                num_mel_bins=128,
+                max_source_positions=1500,
+                scale_embedding=False,
+                activation_function="gelu",
+            )
+
+        self.audio_config = audio_config
+
+        super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)