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Missing weights for inference on missing sequences #39

@brunotakara

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@brunotakara

Hello again,

I am trying to make inferences on missing sequences combinations, but I am getting this following error:

 No weights found for model fla-o and selection best. 
Available models: ['t1-t1c-t2-fla', 't1-t1c-fla', 't1-t1c', 't1c-fla', 't1c-o', 'fla-o', 't1-o']

So far I was able to do it without the t2: 't1-t1c-fla' and without both t2 and flair sequence: 't1-t1c'. All other combinations raise this error, the only thing I am doing different than the others is commenting the arguments t1, t1c, fla and t2 within the inferer.infer(), is there something I am missing? Thanks!

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