This is a tiny random ConvBert model for sequence classification, created by the Optimum Intel internal testing team. It serves as a minimal test case for validating the Optimum Intel library and its integration with PyTorch and TensorFlow. The model is not intended for production use but for development and testing workflows.
Tiny Random ConvBertForSequenceClassification sits in PulseGate's Other AI category. It focuses on testing and validating Optimum Intel library functionality with minimal models. It is built as an open-source project for developers. The project is open source (Open Source). It ships for the web and API.
optimum-intel-internal-testing builds and maintains Tiny Random ConvBertForSequenceClassification. Among its 3 catalogued features are test model, sequence classification, and Optimum Intel.
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