bert large uncased whole word masking squad2 for Extractive QA This is a berta large model, fine tuned using the SQuAD2.0 dataset for the task of question answering. Overview Language model: bert large Language: English Downstream task: Extractive QA Training data: SQuAD 2.0 Eval data: SQuAD 2.0 Code: See an example extractive QA pipeline built with Haystack Usage In Haystack Haystack is an AI orchestration framework to build customizable, production ready LLM applications. You can use this model in Haystack to do extractive question answering on documents. To load and run the model with Haystack: For a complete example with an extractive question answering pipeline that scales over many documents, check out the corresponding Haystack tutorial. In Transformers About us deepset is the company behind the production ready open source AI framework Haystack. Some of our other work: Distilled roberta base squad2 (aka "tinyroberta squad2") German BERT, GermanQuAD and GermanDPR, German embedding model deepset Cloud, deepset Studio Get in touch and join the Haystack community For more info on Haystack, visit our GitHub repo and Documentation . We also have a Discord community open to everyo…
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