tinyroberta-squad2 is a small, efficient version of a RoBERTa model fine-tuned on the SQuAD 2.0 dataset for extractive question answering. It offers a balance between performance and speed, making it suitable for deployment in resource-constrained environments. The model is part of the Hugging Face model hub and supports standard Transformers inference pipelines.
Tinyroberta Squad2 is a Foundation models & chat product. It focuses on answering questions based on provided context using a lightweight model. Tinyroberta Squad2 is an open-source project aimed at developers. The project is open source (Apache-2.0). The product ships for the web, the command line, and API.
deepset builds and maintains Tinyroberta Squad2, and the product first shipped in 2019. The project is developed in the open on GitHub with 26k stars and 661 commits in the last 90 days. It exposes integrations via a public API.
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