jessevig / bertviz
BertViz: Visualize Attention in Transformer Models
Why this job: topics: neural-network, natural-language-processing, transformer, machine-learning, pytorch, transformers
What it does
BertViz is an interactive tool for visualizing attention in Transformer language models. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism.
Get started
git clone https://github.com/jessevig/bertviz.git
cd bertviz
python setup.py develop - Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 8,217
- +7 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.4.1
- Released 17 months ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 84% closed
- 20 still open
- Pull requests
- 5 merged
- 1 waiting
- Releases
- 5
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 86%
- JavaScript 11%
- Jupyter Notebook 2%
Topics
- natural-language-processing
- machine-learning
- visualization
- neural-network
- pytorch
- nlp
- bert
- transformer
- gpt2
- roberta
- transformers
Project record
- JobAI libraries and models
- StatusListed
- Commits309
- Forks887
- Watching70
- Stars in 28 days+20
- CreatedDec 16, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026