deberta v3 base for Extractive QA This is the deberta v3 base model, fine tuned using the SQuAD2.0 dataset. It's been trained on question answer pairs, including unanswerable questions, for the task of Question Answering. Overview Language model: deberta v3 base 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 Infrastructure : 1x NVIDIA A10G Hyperparameters 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 Authors Sebastian Lee: sebastian.lee [at] deepset.ai Timo Möller: timo.moeller [at] deepset.ai Malte Pietsch: malte.pietsch [at] deepset.ai 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") Germ…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy