groundingdino load_model 报错:‘BertModel‘ object has no attribute ‘get_head_mask‘

如果出现报错:

shell 复制代码
Traceback (most recent call last):
  File "/root/autodl-tmp/Grounded-Segment-Anything/./my_demo.py", line 4, in <module>
    model = load_model("GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py", "./groundingdino_swint_ogc.pth")
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/util/inference.py", line 32, in load_model
    model = build_model(args)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/__init__.py", line 17, in build_model
    model = build_func(args)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 374, in build_groundingdino
    model = GroundingDINO(
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 109, in __init__
    self.bert = get_tokenlizer.get_pretrained_language_model(text_encoder_type, bert_base_uncased_path)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/util/get_tokenlizer.py", line 31, in get_pretrained_language_model
    return BertModel.from_pretrained(text_encoder_type)
  File "/root/miniconda3/envs/asr_opt/lib/python3.10/site-packages/transformers/modeling_utils.py", line 4060, in from_pretrained
    checkpoint_files, sharded_metadata = _get_resolved_checkpoint_files(
  File "/root/miniconda3/envs/asr_opt/lib/python3.10/site-packages/transformers/modeling_utils.py", line 699, in _get_resolved_checkpoint_files
    raise OSError(
OSError: Can't load the model for 'bert-base-uncased'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-uncased' is the correct path to a directory containing a file named pytorch_model.bin.
Segmentation fault (core dumped)

改用清华源:

pyhton 复制代码
import os
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'

如果出现报错:

shell 复制代码
Notes:
- UNEXPECTED    :can be ignored when loading from different task/architecture; not ok if you expect identical arch.
Traceback (most recent call last):
  File "/root/autodl-tmp/Grounded-Segment-Anything/./my_demo.py", line 7, in <module>
    model = load_model("GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py", "./groundingdino_swint_ogc.pth")
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/util/inference.py", line 32, in load_model
    model = build_model(args)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/__init__.py", line 17, in build_model
    model = build_func(args)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 374, in build_groundingdino
    model = GroundingDINO(
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py", line 112, in __init__
    self.bert = BertModelWarper(bert_model=self.bert)
  File "/root/autodl-tmp/Grounded-Segment-Anything/GroundingDINO/groundingdino/models/GroundingDINO/bertwarper.py", line 29, in __init__
    self.get_head_mask = bert_model.get_head_mask
  File "/root/miniconda3/envs/asr_opt/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1928, in __getattr__
    raise AttributeError(
AttributeError: 'BertModel' object has no attribute 'get_head_mask'

降级 transformers 版本。

shell 复制代码
pip list | grep transformers
# transformers             5.3.0
shell 复制代码
pip install transformers==4.57.6
相关推荐
β添砖java1 小时前
深度学习(11)数值稳定+模型初始化、激活函数
人工智能·深度学习
九成宫1 小时前
动手学深度学习PyTorch版初步安装过程
人工智能·pytorch·深度学习
lwf0061642 小时前
DeepFM 学习日记
深度学习·机器学习
Narrastory2 小时前
Note:强化学习(六)
人工智能·深度学习·强化学习
Luca_kill3 小时前
GPT Image 2 深度评测:当 AI 图像生成跨越“图灵测试”,它如何重塑开发者工作流?
人工智能·深度学习·openai·ai图像生成·gpt image 2
小糖学代码3 小时前
LLM系列:1.python入门:16.正则表达式与文本处理 (re)
人工智能·pytorch·python·深度学习·神经网络·正则表达式
Ai173163915794 小时前
10大算力芯片某某XXU全解析:CPU/GPU/TPU/NPU/LPU/FPGA/RPU/BPU/DPU/GPGPU
大数据·图像处理·人工智能·深度学习·计算机视觉·自动驾驶·知识图谱
我是大聪明.4 小时前
大模型Tokenizer原理:深入理解BPE与WordPiece子词编码技术
人工智能·深度学习·机器学习
人工智能培训4 小时前
工程科研中的AI应用:结构力学分析技巧
人工智能·深度学习·机器学习·docker·容器
AGV算法笔记4 小时前
CVPR 2024顶级SLAM论文精读:SplaTAM如何用3D高斯实现稠密RGB-D SLAM?
深度学习·3d·机器人视觉·slam·三维重建