Shypd.aiThe largest open index of AI toolsMultimodal-Toolkit is an AI Frameworks & Infra tool that provides a multimodal model for text and tabular data. It uses HuggingFace transformers as a building block for text data, enabling classification and regression tasks.
Trending
Also listed in
About
Multimodal-Toolkit is an open-source toolkit designed for integrating multimodal data, specifically text and tabular data, for classification and regression tasks. It leverages HuggingFace transformers as the foundational model for processing text features. The toolkit introduces a combining module that integrates outputs from the transformer with categorical and numerical features, generating rich multimodal features for downstream machine learning layers. This approach allows for the training of the combining module and transformer parameters based on supervised tasks. It supports various Hugging Face Transformers like BERT, ALBERT, DistilBERT, and RoBERTa, and includes methods for combining features such as concatenation, MLPs, and attention mechanisms. The toolkit also provides example datasets and working examples for quick implementation.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
