🧠 Model

bert-base-uncased

by google-bert

--- language: en tags: - exbert license: apache-2.0 datasets: - bookcorpus - wikipedia --- Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository. This model is uncased: it does not make a differenc...

πŸ• Updated 12/18/2025

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Neural network architecture

1 Input Layer
2 Hidden Layers
3 Attention
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About

Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in this paper and first released in this repository. This model is uncased: it does not make a difference between english and English. Disclaimer: The team releasing BERT did not write a model card for this model so this model card has been written by the Hugging Face team. BERT is a transformers mod...

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • β€’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/google-bert/bert-base-uncased","fetched_at":"2025-12-18T04:21:58.999Z","adapter_version":"3.2.0"}]

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πŸ“„ Related Papers

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