transformers-interpret
small-text
| transformers-interpret | small-text | |
|---|---|---|
| 3 | 4 | |
| 1,212 | 520 | |
| - | 0.4% | |
| 2.9 | 7.6 | |
| 8 months ago | 5 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
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transformers-interpret
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[P] XAI Recipes for the HuggingFace 🤗 Image Classification Models
Very cool, I like seeing this. I also noticed the transformers interpret package has released support for an image classification explainer: https://github.com/cdpierse/transformers-interpret
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Using LIME to explain the predictions from a BERT model, it looks like "the", "and", "or" are "very important" features, and thus I don't think the model is learning anything interesting. Any tips?
You could look at the Transformers Interpret python library: https://github.com/cdpierse/transformers-interpret
- Show HN: Transformers Interpret – Explain and visualize Transformer models
small-text
- Small-Text: Looking for Contributors (Active Learning, Text Classification, NLP)
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🤗 Active learning from scratch | Using Hugging Face Transformers, Rubrix, and small-text
If you are new to small-text: https://github.com/webis-de/small-text
- [P] Small-Text: Active Learning for Text Classification in Python
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