tiny-Qwen2ForSequenceClassification-2.5 is an open-source, lightweight language model for sequence classification. It is suitable for developers and researchers needing efficient models for text analysis tasks.
Tiny Qwen2ForSequenceClassification sits in PulseGate's Other AI category. It focuses on providing a lightweight model for sequence classification and text analysis tasks. Tiny Qwen2ForSequenceClassification is an open-source project aimed at AI developers and researchers. The project is open source (Open Source). Tiny Qwen2ForSequenceClassification is available on the web, API, and the command line.
It is developed by trl-internal-testing, and the product first shipped in 2024. Among its 5 catalogued features are sequence classification, text analysis, and small model size.
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trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5 verified by the PulseGate indexer
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