Comments (3)
cdpierse
commented on May 22, 2024
Hi @isspek
Thanks for using the package! So this is certainly doable as I do it for the QA explainer but I just hadn't thought to add the functionality for the classification explainer. I think it would only be a matter of adding an additional optional param to the explainer call method but I'll have to have a think on how to do it.
I should have some time to have a look at it over the weekend and see what's involved.
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savasy
commented on May 22, 2024
Good question! I wonder how to do :)
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cdpierse
commented on May 22, 2024
Closed by #99
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Related Issues (20)
- What algorithm is used to visualize text in SequenceClassificationExplainer
- How to use transformers-interpret for sequencelabelling, for example layoutlmv3 or v3 HOT 1
- MultiLabelSequenceClassificationExplainer potentially bugged. HOT 14
- ImportError: cannot import name 'PairwiseSequenceClassificationExplainer' HOT 1
- How to interpret the model fine tuning on the pre-trained ViT model using the imagery with larger resolution (500 * 500) than the pre-trained dataset (224 * 224)
- Token Classification Memory Issue
- Issue using BertTokenizer (AttributeError) HOT 2
- 'Bert' object has no attribute 'config'
- Text attribution fails for XLM-Roberta models HOT 4
- Is it normal that attribution takes multiple seconds per text, even on a GPU? HOT 1
- ZeroShotClassificationExplainer appears to be broken
- Prediction differs from non-explainable evaluation HOT 1
- Output probability - SequenceClassificationExplainer
- Support for Summarization models HOT 3
- Support for Longformer
- ImageClassificationExplainer: AttributeError: ndim when trying to visualize. HOT 3
- Issue with Zero Shot Classifier
- How to use other types of transformers models? HOT 1
- Support for Reformer
- Broken link for Captum Algorithm Overview in the README
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