Model: sahilnishad/Florence-2-FT-DocVQA
Author: sahilnishad
Pipeline: question-answering
Library: transformers
Tags: transformers, safetensors, florence2, any-to-any, document-vqa, vqa, image-to-text, multimodal, question-answering, custom_code, en, dataset:HuggingFaceM4/DocumentVQA, base_model:microsoft/Florence-2-base, base_model:finetune:microsoft/Florence-2-base, doi:10.57967/hf/3473, license:mit, endpoints_compatible, region:us
Base models (finetune): id: microsoft/Florence-2-base
Card metadata: library_name: transformers
license: mit
datasets: HuggingFaceM4/DocumentVQA
language: en
base_model: microsoft/Florence-2-base
tags: transformers, florence2, document-vqa, vqa, image-to-text, multimodal, question-answering
Likes: 1 | All-time downloads: 50447
Created: 2024-11-02 19:40:39