v0.3.3

• Update minimum required Python version to 3.8
• Require transformers<4.34 to ensure compatibility for small100 model
• m2m100/small100: Stop adding extra EOS tokens when scoring, which is not needed anymore

v0.3.2

• Fix score calculation with small100 model (account for the fact that the target sequence is not prefixed with the target language, as is the case for m2m100).
• Improve caching efficiency

v0.3.1

• Set small100 as default model when instantiating NMTScorer

v0.3.0

• Implement the distilled small100 model by Mohammadshahi et al. (2022) and use this model by default.
• Enable half-precision inference for m2m100 models and small100 by default; see experiments/results/summary.md for benchmark results

v0.2.0

Bugfix: Provide source language to m2m100 models (#2)
This fix is backwards-compatible but a warning is now raised if m2m100 is used without specifying the input language.

v0.1.0

Initial release