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Demo TTI Dandelin Vilt B32 Finetuned Vqa is an AI model specialized in Visual Question Answering (VQA). It is based on the VilT (Vision-Language Transformer) architecture, which is designed to process and understand both visual and textual data effectively. This model has been fine-tuned specifically for VQA tasks, enabling it to answer questions related to images accurately. It operates by taking an image and a corresponding question as input and generates a relevant answer.
To use this model effectively, follow these steps:
What type of architecture is used in this model?
The model is based on the VilT (Vision-Language Transformer) architecture, which is a lightweight and efficient vision-language model.
Can this model handle complex or ambiguous questions?
While the model is designed to handle a wide range of questions, its performance may vary depending on the quality of the image, the complexity of the question, and the availability of relevant training data.
Do I need to preprocess the images before using them with the model?
The model expects images in a standard format (e.g., JPEG or PNG). No additional preprocessing is required beyond providing a valid image file or URL.