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Workaround transformers overwriting model_type when saving dpr models#765
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julian-risch merged 15 commits intomasterfrom Jun 9, 2021
Merged
Workaround transformers overwriting model_type when saving dpr models#765julian-risch merged 15 commits intomasterfrom
julian-risch merged 15 commits intomasterfrom
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This reverts commit 4af4b3d.
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Timoeller
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Nice one.
I like the parametrization and documentation of the tests (since they can be quite confusing).
You even fixed the typo in the docs about cty_encoder : )
I added a comment that would make the solution even nicer (I believe). I would be fine with merging already now.
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❤️ ;) |
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For DPR models, transformers overwrites the model_type parameter specified in a model's config when saving the model:
https://github.com/huggingface/transformers/blob/64e78564a519cda2b4408803e2781c604e1e3bdd/src/transformers/configuration_utils.py#L626
For DPR models with a non-BERT tokenizer, e.g., CamembertTokenizer as in haystack issue #1046 this prevents loading the correct tokenizer when the model is loaded again. For example, the model_type camembert is specified in the config when loading the model from the model hub, but the model_type dpr is saved.
To overcome this problem, we set the model_type of transformers.DPRConfig on-the-fly to the model_type as specified in the model's config file.
This PR corresponds to haystack PR #1060