masr2000
commented
1 year ago Please refer to the GCC repository: https://github.com/lbe0613/GCC, and ensure that the directory structure is consistent with the code and configuration files.
Closed LucasSpider closed 1 year ago
masr2000
commented
1 year ago Please refer to the GCC repository: https://github.com/lbe0613/GCC, and ensure that the directory structure is consistent with the code and configuration files.
Run times error: Traceback (most recent call last): File "/home/nlp/MyProject/LEAD/main.py", line 49, in
pipeline.initialize()
File "/home/nlp/MyProject/LEAD/pipeline/BasicPipeline.py", line 104, in initialize
self.init_model()
File "/home/nlp/MyProject/LEAD/pipeline/MultiModelPipeline.py", line 17, in init_model
super(MultiModelPipeline, self).init_model()
File "/home/nlp/MyProject/LEAD/pipeline/BasicPipeline.py", line 84, in init_model
model = model_class()
File "/home/nlp/MyProject/LEAD/model/GlyphClassifier.py", line 13, in init
self.bert = GlyphEncoder()
File "/home/nlp/MyProject/LEAD/model/GlyphEncoder.py", line 16, in init
bert_config = BertConfig.from_pretrained(os.path.join(glyph_path, "config.json"))
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/transformers/configuration_utils.py", line 501, in from_pretrained
config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/transformers/configuration_utils.py", line 550, in get_config_dict
configuration_file = get_configuration_file(
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/transformers/configuration_utils.py", line 841, in get_configuration_file
all_files = get_list_of_files(
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/transformers/file_utils.py", line 1952, in get_list_of_files
return list_repo_files(path_or_repo, revision=revision, token=token)
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 112, in _inner_fn
validate_repo_id(arg_value)
File "/home/nlp/anaconda3/envs/lead/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 160, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': './resources/glyph/config.json'. Use
repo_typeargument if needed. , it seems that the reason for the error because no. / resources/glyph/config. The json 'file, please glyph - enhanced pretrained model specific which one is to download, is GCC using the training model in the link or GCC model after fine-tuning, And where do you get the required configuration files? Or can you provide it?