Bidirectional Encoder Representations from Transformers
Bidirectional Encoder Representations from Transformers is an AI model published by Google Research, released on 2018-10-11, for Foundation model, with 3.4B parameters, and 2K tokens context length, requiring about 1.3GB storage, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Bidirectional Encoder Representations from Transformers is an AI model published by Google Research, released on 2018-10-11, for Foundation model, with 3.4B parameters, and 2K tokens context length, requiring about 1.3GB storage, under the Apache 2.0 license.
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