AttributeError: 'ChineseCLIPConfig' object has no attribute 'hidden_size'
不知道是不是因为模型不支持 sentence_transformers。
完整错误如下：
Traceback (most recent call last):
File "/usr/local/python3/bin/eland_import_hub_model", line 8, in <module>
sys.exit(main())
File "/usr/local/python3/lib/python3.8/site-packages/eland/cli/eland_import_hub_model.py", line 279, in main
tm = TransformerModel(
File "/usr/local/python3/lib/python3.8/site-packages/eland/ml/pytorch/transformers.py", line 665, in __init__
self._traceable_model = self._create_traceable_model()
File "/usr/local/python3/lib/python3.8/site-packages/eland/ml/pytorch/transformers.py", line 1000, in _create_traceable_model
model = _SentenceTransformerWrapperModule.from_pretrained(
File "/usr/local/python3/lib/python3.8/site-packages/eland/ml/pytorch/transformers.py", line 325, in from_pretrained
return _SentenceTransformerWrapper(model, output_key)
File "/usr/local/python3/lib/python3.8/site-packages/eland/ml/pytorch/transformers.py", line 352, in __init__
super().__init__(model=model, output_key=output_key)
File "/usr/local/python3/lib/python3.8/site-packages/eland/ml/pytorch/transformers.py", line 298, in __init__
self._st_model = SentenceTransformer(model.config.name_or_path)
File "/usr/local/python3/lib/python3.8/site-packages/sentence_transformers/SentenceTransformer.py", line 202, in __init__
modules = self._load_auto_model(
File "/usr/local/python3/lib/python3.8/site-packages/sentence_transformers/SentenceTransformer.py", line 973, in _load_auto_model
pooling_model = Pooling(transformer_model.get_word_embedding_dimension(), "mean")
File "/usr/local/python3/lib/python3.8/site-packages/sentence_transformers/models/Transformer.py", line 114, in get_word_embedding_dimension
return self.auto_model.config.hidden_size
File "/usr/local/python3/lib/python3.8/site-packages/transformers/configuration_utils.py", line 262, in __getattribute__
return super().__getattribute__(key)
AttributeError: 'ChineseCLIPConfig' object has no attribute 'hidden_size'
不确定是否应该提 issue 到这里，在 transformers 里的代码执行的时候抛了这个错：
不知道是不是因为模型不支持 sentence_transformers。
完整错误如下：