Infer model type from config #600
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Timoeller
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Oct 26, 2020
This was referenced Oct 28, 2020
tholor
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Oct 28, 2020
* DPRProcessor, BiAdaptiveModel modified for optional query/passage * TextSimilarityProcessor, BiAdaptiveModel haystack inference compatibility added * TextSimilarityProcessor query/passage features optional * DPRProcessor, BiAdaptiveModel modified for optional query/passage * TextSimilarityProcessor, BiAdaptiveModel haystack inference compatibility added * TextSimilarityProcessor query/passage features optional * prediction head modified * bugfix in BiAdaptiveModel init * Fix removal of yes no answers (#540) * fix removal of yes no answers * Make use of the answer_type linked to each answers. * pin seqeval version * remove hardcoded answer types list Co-authored-by: Fabio Tesser <fabio.tesser@gmail.com> Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai> * DPR test modified for max_seq_len_query/max_seq_len_context * Infer model type from config (#600) * Inference model and tokenizer type from config * Infer type from model name as fallback * BiAdaptive model output type modified to tuple from dict * dpr tests reflect biadaptive model output type(tuple) * DPRProcessor, BiAdaptiveModel modified for optional query/passage * TextSimilarityProcessor, BiAdaptiveModel haystack inference compatibility added * TextSimilarityProcessor query/passage features optional * DPRProcessor, BiAdaptiveModel modified for optional query/passage * TextSimilarityProcessor, BiAdaptiveModel haystack inference compatibility added * prediction head modified * bugfix in BiAdaptiveModel init * DPR test modified for max_seq_len_query/max_seq_len_context * BiAdaptive model output type modified to tuple from dict * dpr tests reflect biadaptive model output type(tuple) * renamed variables from 'context' to 'passage' * DPR language model loading refactored * DPR Language model comments fix Co-authored-by: Branden Chan <33759007+brandenchan@users.noreply.github.com> Co-authored-by: Fabio Tesser <fabio.tesser@gmail.com> Co-authored-by: Malte Pietsch <malte.pietsch@deepset.ai> Co-authored-by: bogdankostic <bogdankostic@web.de>
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Until now, model types are inferred from the model name, which can cause problems like in deepset-ai/haystack#506. This PR makes it possible to infer the model type from the config files.