This is a minimal random-weight BERT model published under the optimum-intel-internal-testing organization. It is intended for integration and performance testing of the Optimum Intel toolkit with Hugging Face pipelines and ONNX/TensorFlow runtimes. The model contains only 127k parameters and is provided in Safetensors format for safe and efficient loading during development workflows.
In the Other AI space, Tiny Random Bert takes a focused approach. It focuses on testing Optimum Intel optimizations and integrations for BERT models without using full-scale production weights. Tiny Random Bert is an open-source project aimed at AI developers and researchers. The project is open source (Open Source). The product ships for the web and API.
Optimum Intel Internal Testing builds and maintains Tiny Random Bert, and the product first shipped in 2023.
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