Warning about incompatible spaCy models.

I get the following error when trying to load en_core_sci_sm:

UserWarning: [W031] Model 'en_core_sci_sm' (0.2.4) requires spaCy v2.2 and is incompatible with the current spaCy version (2.3.0). This may lead to unexpected results or runtime errors. To resolve this, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)

Steps to reproduce: Create clean Conda environment and activate

conda create --name scispacy python=3.8
conda activate scispacy

Install scispacy and install the latest en_core_sci_sm model.

pip install scispacy
pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.4/en_core_sci_sm-0.2.4.tar.gz

Attempt import

(scispacy) $ python -c "import spacy; nlp=spacy.load('en_core_sci_sm')"
/home/davidw/miniconda3/envs/scispacy/lib/python3.8/site-packages/spacy/util.py:271: UserWarning: [W031] Model 'en_core_sci_sm' (0.2.4) requires spaCy v2.2 and is incompatible with the current spaCy version (2.3.0). This may lead to unexpected results or runtime errors. To resolve this, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate
  warnings.warn(warn_msg)

Is this warning important or can I ignore it?

Thanks,

Dave

[dakinggg]

I’m going to reopen this because we need to retrain the models for spacy 2.3.0 and other people will hit this, thanks for reporting!

[snosrap]

I ran into this as well – 1.10 release of Prodigy requires spacy 2.3

Here are some release notes on spacy 2.3 that mention incompatibility with models trained on earlier versions