conda develop . # Adds DyGIE to your PYTHONPATH

[milky-FatJay]

在执行conda develop . 的时候报错，请问有没有方法可以解决这个问题

[mk-runner]

在执行conda develop . 的时候报错，请问有没有方法可以解决这个问题

建议新建一个新环境，python 3.7，我的具体环境配置如knowledge_encoder/radgraph_requirements.yml。

[milky-FatJay]

在执行conda develop . 的时候报错，请问有没有方法可以解决这个问题

建议新建一个新环境，python 3.7，我的具体环境配置如knowledge_encoder/radgraph_requirements.yml。

我已经把radgraph环境配置成功了，但是在执行配置dygiepp环境配置中的conda develop .命令仍然报错，请问这个命令的目的是什么

[mk-runner]

在执行conda develop . 的时候报错，请问有没有方法可以解决这个问题

建议新建一个新环境，python 3.7，我的具体环境配置如knowledge_encoder/radgraph_requirements.yml。

我已经把radgraph环境配置成功了，但是在执行配置dygiepp环境配置中的conda develop .命令仍然报错，请问这个命令的目的是什么

dygiepp环境配置，我参考的是“https://github.com/dwadden/dygiepp” 。 至于“conda develop . ”的目的，dygiepp写的是“ # Adds DyGIE to your PYTHONPATH”。

在实现RadGraph时，它是基于allennlp工具提取诊断报告中的实体与关系，allennlp又基于dygie实现的，具体实现如下所示：

os.system(f"allennlp predict {self.model_path} {self.input_path} \ --predictor dygie --include-package dygie \ --use-dataset-reader \ --output-file {self.output_path} \ --silent")

因此，dygie环境必须配置好。建议新建一个虚拟环境，严格按照dygie要求配置其环境（备注：你的python是3.11，而dygie要求3.7）

[milky-FatJay]

在执行conda develop . 的时候报错，请问有没有方法可以解决这个问题

建议新建一个新环境，python 3.7，我的具体环境配置如knowledge_encoder/radgraph_requirements.yml。

我已经把radgraph环境配置成功了，但是在执行配置dygiepp环境配置中的conda develop .命令仍然报错，请问这个命令的目的是什么

dygiepp环境配置，我参考的是“https://github.com/dwadden/dygiepp” 。 至于“conda develop . ”的目的，dygiepp写的是“ # Adds DyGIE to your PYTHONPATH”。

在实现RadGraph时，它是基于allennlp工具提取诊断报告中的实体与关系，allennlp又基于dygie实现的，具体实现如下所示：

os.system(f"allennlp predict {self.model_path} {self.input_path} \ --predictor dygie --include-package dygie \ --use-dataset-reader \ --output-file {self.output_path} \ --silent")

因此，dygie环境必须配置好。建议新建一个虚拟环境，严格按照dygie要求配置其环境（备注：你的python是3.11，而dygie要求3.7）

Traceback (most recent call last):
File "/home/yanghaofeng/anaconda3/envs/dygiepp/bin/allennlp", line 8, in
sys.exit(run())
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/main.py", line 34, in run
main(prog="allennlp")
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/commands/init.py", line 92, in main
args.func(args)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/commands/predict.py", line 211, in _predict
predictor = _get_predictor(args)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/commands/predict.py", line 110, in _get_predictor
overrides=args.overrides,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/models/archival.py", line 191, in load_archive
cuda_device=cuda_device,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/models/model.py", line 367, in load
return model_class._load(config, serialization_dir, weights_file, cuda_device)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/models/model.py", line 295, in _load
model = Model.from_params(vocab=vocab, params=model_params)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 595, in from_params
**extras,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 622, in from_params
kwargs = create_kwargs(constructor_to_inspect, cls, params, **extras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 193, in create_kwargs
cls.name, param_name, annotation, param.default, params, **extras
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 302, in pop_and_construct_arg
return construct_arg(class_name, name, popped_params, annotation, default, **extras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 336, in construct_arg
return annotation.from_params(params=popped_params, **subextras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 595, in from_params
**extras,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 622, in from_params
kwargs = create_kwargs(constructor_to_inspect, cls, params, **extras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 193, in create_kwargs
cls.name, param_name, annotation, param.default, params, **extras
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 302, in pop_and_construct_arg
return construct_arg(class_name, name, popped_params, annotation, default, **extras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 383, in construct_arg
**extras,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 336, in construct_arg
return annotation.from_params(params=popped_params, **subextras)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 595, in from_params
**extras,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/from_params.py", line 624, in from_params
return constructor_to_call(**kwargs) # type: ignore
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/modules/token_embedders/pretrained_transformer_mismatched_embedder.py", line 53, in init
gradient_checkpointing=gradient_checkpointing,
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/modules/token_embedders/pretrained_transformer_embedder.py", line 63, in init
model_name, True, override_weights_file, override_weights_strip_prefix
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/allennlp/common/cached_transformers.py", line 79, in get
transformer = AutoModel.from_pretrained(model_name)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/transformers/modeling_auto.py", line 502, in from_pretrained
return model_class.from_pretrained(pretrained_model_name_or_path, *model_args, config=config, **kwargs)
File "/home/yanghaofeng/anaconda3/envs/dygiepp/lib/python3.7/site-packages/transformers/modeling_utils.py", line 662, in from_pretrained
raise EnvironmentError(msg)
OSError: Can't load weights for 'microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext'. Make sure that:

• 'microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext' is a correct model identifier listed on 'https://huggingface.co/models'

• or 'microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext' is the correct path to a directory containing a file named one of pytorch_model.bin, tf_model.h5, model.ckpt.
  请问，这个错误怎么解决？
  在安装dygiepp中的requirements.txt中的allennlp==1.1.0和allennlp_models==1.1.0的时候发现捆绑了transformers的版本，我将transformers的版本更新了之后上述错误就消失了，但是又产生了新的错误，请问你的环境配置的版本是怎么样的？