Multimodal-Toolkit
The toolkit incorporates HuggingFace transformers to integrate multimodal data, enhancing tasks like classification and regression with a combination of categorical, numerical, and text features. It supports transformers such as BERT and RoBERTa and offers detailed datasets and examples for configuration. Suitable for AI applications requiring comprehensive data input, it provides flexible and robust methodologies for predictive modeling. Refer to the blog post and Colab notebook for detailed use cases.
