Tags: lightonai/pylate
Tags
Bump version 1.1.5 - Addition of NanoBEIREvaluator, allowing to give quick signal about the learning during training Support of Python 3.9 - Bump of transformers/ST versions, allowing to use ModernBERT in PyLate and also fixing an issue for loading models after training them with trust_remote_code=True - Reading of Stanford-NLP models configurations (markers, attending to expansion tokens, ...), allowing to load models such as Jina-ColBERT without having to specify all these parameters Some fixes