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Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance.
Features
- Provides model interpretability for Transformer architectures
- Visualizes attention weights and feature importance
- Supports BERT, RoBERTa, GPT-2, and other Hugging Face models
- Integrates with Captum for deep learning explainability
- Works with classification and text generation models
- Open-source with Python API for easy integration
Project Samples
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow Transformers-Interpret
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