DeBERTa v3 model fine-tuned for token classification and sequence tagging. Developers can load it with Hugging Face Transformers for local inference in applications and notebooks.
Deberta V3 Seq Tag is an Other AI project. It focuses on running token classification and sequence-tagging inference without training a model from scratch. Deberta V3 Seq Tag is an open-source project aimed at machine learning developers. Deberta V3 Seq Tag is open source under the Open Source license. Deberta V3 Seq Tag is available on the web and the command line, and it can be self-hosted.
ORBIS Marianne builds and maintains Deberta V3 Seq Tag. Key capabilities include token classification, transformers support, and safetensors weights.
Summary written by a language model from the project’s public pages.
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