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

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-23