50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
# Adopted from https://github.com/huggingface/transformers/blob/main/src/transformers/models/siglip/configuration_siglip.py.
|
|
# Below is the original copyright:
|
|
# coding=utf-8
|
|
# Copyright 2024 The 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.
|
|
"""VideoLLaMA3 vision encoder model configuration."""
|
|
|
|
from transformers import PretrainedConfig
|
|
|
|
|
|
class Videollama3VisionEncoderConfig(PretrainedConfig):
|
|
|
|
model_type = "videollama3_vision_encoder"
|
|
|
|
def __init__(
|
|
self,
|
|
hidden_size=768,
|
|
intermediate_size=3072,
|
|
num_hidden_layers=12,
|
|
num_attention_heads=12,
|
|
num_channels=3,
|
|
patch_size=16,
|
|
hidden_act="gelu_pytorch_tanh",
|
|
layer_norm_eps=1e-6,
|
|
attention_dropout=0.0,
|
|
**kwargs,
|
|
):
|
|
super().__init__(**kwargs)
|
|
|
|
self.hidden_size = hidden_size
|
|
self.intermediate_size = intermediate_size
|
|
self.num_hidden_layers = num_hidden_layers
|
|
self.num_attention_heads = num_attention_heads
|
|
self.num_channels = num_channels
|
|
self.patch_size = patch_size
|
|
self.attention_dropout = attention_dropout
|
|
self.layer_norm_eps = layer_norm_eps
|
|
self.hidden_act = hidden_act
|