german-sentiment-bert is an open-source BERT model for classifying the sentiment of German text. Developers can load it locally with Transformers and use it through supported machine-learning frameworks and inference tools.
In the Other AI space, German Sentiment Bert takes a focused approach. It focuses on classifying the sentiment of German-language text without training a model from scratch. It is built as an open-source project for developers and machine-learning practitioners. German Sentiment Bert is open source under the MIT license. German Sentiment Bert is available on the web and the command line, and it can be self-hosted.
Oliver Guhr builds and maintains German Sentiment Bert, and it first shipped in 2020. The project is developed in the open on GitHub with 70 stars. Key capabilities include german sentiment classification, text classification, and class probabilities.
Summary written by a language model from the project’s public pages.
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