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wiki-text-100w-fid-large-tqa-reader
castorini/wiki-text-100w-fid-large-tqa-reader
wiki-text-100w-fid-large-tqa-reader is a machine learning model from castorini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Fusion-in-Decoder (FiD) is a model described in the following paper:
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jan 2, 2023
- Updated
- Jan 5, 2023
- SHA
- cfd3163e
Model card
From the Hugging Face model README
Fusion-in-Decoder (FiD) is a model described in the following paper:
Izacard, Gautier, and Édouard Grave. Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021.
We have replicated FiD training with our Wikipedia corpus variants and incorporated the model into our PyGaggle neural text ranking library.
Our own efforts are described in the paper entitled:
Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering.
This is a FiD-large reader model for the wiki-text-100w corpus variant trained on the TriviaQA dataset.
- Library
- transformers
- Type
- t5
- Created
- Jan 2, 2023
- Updated
- Jan 5, 2023