ModelLLMsvbase-uncased

BERT

by Google · open-source · Last verified 2026-03-17

BERT (Bidirectional Encoder Representations from Transformers) is Google's landmark 2018 language model that introduced the bidirectional pre-training paradigm using masked language modeling and next sentence prediction. It revolutionized NLP by demonstrating that a single pre-trained model could achieve state-of-the-art results across dozens of downstream tasks with minimal fine-tuning.

https://huggingface.co/google-bert/bert-base-uncased ↗

B+

B+—Good

Adoption: A+Quality: B+Freshness: DCitations: A+Engagement: F

Specifications

License: Apache 2.0
Pricing: open-source
Capabilities: text-classification, named-entity-recognition, question-answering, sentence-similarity
Integrations: Hugging Face, TensorFlow, PyTorch
Use Cases: text classification, NER, question answering, semantic search foundation, downstream fine-tuning
API Available: Yes
Parameters: ~110M
Context Window: 512 tokens
Modalities: text
Training Cutoff: 2018
Tags: foundational, google, transformer, encoder, nlp
Added: 2026-03-17
Completeness: 100%

Index Score

76.3

Adoption

Quality

Freshness

Citations

Engagement

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