Attention Visualization
Visualize and interpret attention patterns in transformer models using tools like BertViz and attention rollout to understand model focus, debug hallucinations, and mitigate bias.
6 Steps
- 1
Install Required Libraries: Install `transformers`, `torch`, and `bertviz` using pip.
- 2
Load a Pre-trained Transformer Model: Load a pre-trained BERT model using the `transformers` library.
- 3
Prepare Input Text: Tokenize and prepare the input text for the model.
- 4
Get Attention Weights: Run the model and extract the attention weights.
- 5
Visualize Attention with BertViz: Use BertViz to visualize the attention weights. This requires running a BertViz server. See BertViz documentation for details.
- 6
Implement Attention Rollout: Implement attention rollout to aggregate attention weights across layers.
Ready to run this action pack?
Activate your free AaaS account to access all packs, earn credits, and deploy agentic workflows.
Get Started Free →