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Florence-2-VLM-Doc-VQA
prithivMLmods/Florence-2-VLM-Doc-VQA
Florence-2-VLM-Doc-VQA is a image-to-text model from prithivMLmods. Use it when you need a caption or text from an image. It is set up for transformers.
This model is a fine-tuned version of microsoft/Florence-2-base-ft designed for Visual Question Answering (VQA). It has been optimized for tasks where the model interprets images and responds to questions about the vi…
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- Model type
- florence2
- Access
- Public
- Created
- Oct 26, 2024
- Updated
- Oct 26, 2024
- SHA
- cd4bdabc
Base models
Model card
From the Hugging Face model README
Model Details
Visual Question Answering Model
This model is a fine-tuned version of microsoft/Florence-2-base-ft designed for Visual Question Answering (VQA). It has been optimized for tasks where the model interprets images and responds to questions about the visual content.
Model Details
- Finetuned by: prithivMLmods
- Model type: Visual Question Answering (VQA)
- Language(s): English (NLP component)
- License: None specified
- Finetuned from model: microsoft/Florence-2-base-ft
Usage
This model can be used to perform VQA tasks, where it takes an image and a question about the image as input, and returns an answer based on the visual content.
- Task
- Image-to-Text
- Library
- transformers
- Type
- florence2
- Languages
- en
- Created
- Oct 26, 2024
- Updated
- Oct 26, 2024