tiny-random-squeezebert is a small, randomly initialized model based on the SqueezeBERT architecture. It is intended for internal testing of the Optimum Intel library and Transformers pipeline for feature extraction tasks. The model is hosted on Hugging Face and can be loaded directly with AutoModel and AutoTokenizer for development and validation purposes.
In the Foundation models & chat space, Tiny Random Squeezebert takes a focused approach. It focuses on providing a minimal test model for validating feature extraction pipelines and library compatibility. Tiny Random Squeezebert is an open-source project aimed at developers. The project is open source (Open Source). It ships for the web and API.
optimum-intel-internal-testing builds and maintains Tiny Random Squeezebert.
Summary written by a language model from the project’s public pages.
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