John Snow Labs Spark-NLP 2.0.8: Model compatibility bugfixes
This release fixes a few tiny but meaningful issues that prevent from new trained models having internal compatibility issues.
Bugfixes
- Fixed wrong logic when checking embeddingsRef is being overwritten in a WordEmbeddingsModel
- Deleted unnecessary chunk index from tokens
- Fixed some of the new trained models compatibility issues when python API had mismatching pretrained models compared to scala