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v0.1.7
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@konstin konstin released this 17 Mar 17:18
· 415 commits to develop since this release
v0.1.7
67eb41e
  • Added prottrans_t5_uniref50/ProtTransT5UniRef50Embedder. This version improves over T5 BFD by being finetuned on UniRef50.
  • Added a half_model option to both T5 models (prottrans_t5_uniref50 and prottrans_t5_bfd). On the tested GPU (Quadro RTX 3000) half_model: True reduces memory consumption
    from 12GB to 7GB while the effect in benchmarks is negligible (±0.1 percentages points in different sets,
    generally below standard error). We therefore recommend switching to half_model: True for T5.
  • Added DeepBLAST from Protein Structural Alignments From Sequence (see example/deepblast for an example)
  • Dropped python 3.6 support and added python 3.9 support
  • Updated the docker example to cache weights
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