-
I would like to use TextAttack with the BERT model together with Captum. A tutorial covers the topic I am interested in -https://textattack.readthedocs.io/en/latest/2notebook/Example_5_Explain_BERT.ht…
-
Hello
I am new to Captum and also Bert, I have Bert model that is take as input sequence of letters of max length 2170 and output sequence of the same length that predict label for each letter, i …
-
Exploration of [model explainability techniques](https://captum.ai/) using the prediction capabilities of the CEFAS model, in complement to using it as a source of embeddings.
E.g. we take the imag…
-
## 🚀 Feature
Implementation of Grad-CAM, probably as a vision callback.
### Motivation
[Grad-CAM](https://arxiv.org/pdf/1610.02391.pdf) is widely used localization method that uses the gradient…
-
## Feature
Support feature importance in tabular data scenarios.
1. Understand which features are beneficial for prediction and help to develop new features
2. Feature selection, removing feature…
-
https://github.com/cdpierse/transformers-interpret
https://captum.ai/tutorials/IMDB_TorchText_Interpret
-
Hello!
When i tried to run the captum here:
https://github.com/pytorch/tutorials/blob/main/recipes_source/recipes/Captum_Recipe.py
I've got "ValueError: keyword grid_b is not recognized; vali…
-
KernelShap is not working yet and gave the following error:
```
Traceback (most recent call last):
File "/home/nfel/PycharmProjects/thermostat/venv/lib/python3.8/site-packages/captum/attr/_core/l…
-
When I explained LSTM with captum, the following error occurred:
Traceback (most recent call last):
File "D:\论文机器学习模型\shiyan.py", line 210, in
attributions_ig, delta_ig = lig.att…
-
Hi, I'm trying to use Integrated Gradients on a simple DQN model in my MacBook using the MPS backend.
`model = IntegratedGradients(model)`
`attribution = xai.attribute(torch.tensor(ob, dtype = to…