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ingeorgian-io/Multimodal-Toolkit (press backspace or delete to remove)

I m aware that it is possible to use the shap library to explain BertForSequenceClassification models. I am however unsure how to to this using the custom BertWithTabular class. Is there any way of adapting ...
  • pivettamarcos
  • Opened 
    on Dec 13, 2024
  • #85

Currently the tests just check if every model can run on a set of predetermined dataset configurations. Add additional tests to check scenarios where we have no text, no categorical or no numerical columns ...
enhancement
good first issue
hacktoberfest
  • akashsaravanan-georgian
  • Opened 
    on Oct 7, 2024
  • #84

In v0.4.0 a .values called has been added here https://github.com/georgian-io/Multimodal-Toolkit/blob/master/multimodal_transformers/data/tabular_torch_dataset.py#L45 which results in error if we pass ...
bug
  • ricsi046
  • 2
  • Opened 
    on Oct 7, 2024
  • #82

Hi thank you for developing this package! I want to be able to load the already saved model, then use it for inference like in production. How can I let the inference dataset to go through the same preprocessing ...
enhancement
  • kkristacia
  • 5
  • Opened 
    on May 21, 2024
  • #76

Hi Developers, Thank you for building this amazing library, it has benefitted me tremendously. So far, I have trained my model using the Multimodal-Toolkit, the example on Google Colab has been helpful. ...
  • anirbandey303
  • 3
  • Opened 
    on May 3, 2024
  • #75

Hi Developers, I have a naive question, could you please help me understand: - During the model training, are the weights and biases of the BERT model(or any other supported model) changing? (IF ...
question
  • anirbandey303
  • 3
  • Opened 
    on May 2, 2024
  • #74

i cant load my dataset and i cant fixed it :(( Screenshot 2024-04-27 190836 Screenshot 2024-04-27 190855 Screenshot 2024-04-27 190903
awaiting_info
bug
  • NBTailee
  • 5
  • Opened 
    on Apr 27, 2024
  • #72

I think the latest version of numpy cause this bug since downgrading numpy to version 1.24.1 seem to fix the issue.
bug
  • hugoquintel
  • 4
  • Opened 
    on Apr 8, 2024
  • #71

Since you mentioned you re considering enhancing load_data(), I might also try to expose to the user different methods for imputation of missing numeric data. Currently in data_utils.load_num_feats() this ...
enhancement
  • kopant
  • 3
  • Opened 
    on Mar 5, 2024
  • #69

In layer_utils.calc_mlp_dims(), should the line dim = dim // division instead be dim = dim - dim // division ? Based on the documentation, that division is the factor by which successive MLP layer sizes ...
question
  • kopant
  • 2
  • Opened 
    on Mar 5, 2024
  • #68
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