This is a conceptual question rather than a bug report:
What is different between the different models produced by the inverse folding script?
If I request 100 different sequences outputted from running esm/examples/inverse_folding/sample_sequences.py, does it mean they are produced from the same model with a different seed?
If I wanted to take 1 forward from these 100, should I run examples/inverse_folding/score_log_likelihoods.py and use the one with the most negative value?
This is a conceptual question rather than a bug report:
What is different between the different models produced by the inverse folding script? If I request 100 different sequences outputted from running
esm/examples/inverse_folding/sample_sequences.py
, does it mean they are produced from the same model with a different seed? If I wanted to take 1 forward from these 100, should I runexamples/inverse_folding/score_log_likelihoods.py
and use the one with the most negative value?