BERT Base
BERT Base is released 2018-10-11 in the BERT family with open-source; evaluate it while provider pricing coverage matures.
- Family
- BERT
- Released
- 2018-10-11
- Context
- 512
- Parameters
- 110M
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedPermitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider pricing is available yet.
About
BERT Base, developed by Google AI Language, is a prominent large language AI model that utilizes a bidirectional transformer architecture to enhance natural language processing tasks. It processes the entire input sequence simultaneously, offering a comprehensive understanding of context, which significantly improves the model's accuracy compared to previous unidirectional models. With approximately 110 million parameters and a hidden size of 768 across 12 layers, BERT Base is equipped to handle various NLP tasks such as named entity recognition, sentiment analysis, and question answering.
Providers
No active provider routes are tracked for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider pricing is available yet.