Can we convert spacyv2 trained model into spacyv3

[delhydee]

Hi,
I have model trained from training data using spacy v2 and now I have upgraded spacy version in project from v2to v3. I want to import trained model from the repository in azure storage blob service. while downloading model it is giving error Blob could not be downloaded Error message: [E1005] Unable to set attribute 'POS' in tokenizer exception for ' '. Tokenizer exceptions are only allowed to specify ORTH and NORM. Fresh model en_core_web_md has been loaded successfully. I dont have training data that I can use to again train model using spacyv3, hence wanted to access existing trained model. Can you please let me know if it is possible and if so how it will be achieved in python code.
Thanks

[honnibal]

Generally yes you can convert, but there's no built-in general-purpose utility for it. However if you use a coding assistant such as Claude Code or Codex, they can usually do it for you.

[delhydee]

thanks for reply but I am getting this error Error message: [E1005] Unable to set attribute 'POS' in tokenizer exception for ' '. Tokenizer exceptions are only allowed to specify ORTH and NORM. Fresh model en_core_web_md has been loaded successfully.