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---
library_name: transformers
language:
- en
pipeline_tag: image-text-to-text
datasets:
- rootsautomation/RICO-ScreenQA
base_model: microsoft/Florence-2-base
---
# Florence-2-ScreenQA-base
<!-- Provide a quick summary of what the model is/does. -->
This is fine-tuned version of [microsoft/Florence-2-base](https://huggingface.co/microsoft/Florence-2-base) on [RICO-ScreenQA](https://huggingface.co/datasets/rootsautomation/RICO-ScreenQA). It can be used to extract information from screenshots.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Finetuned from model:** [microsoft/Florence-2-base](https://huggingface.co/microsoft/Florence-2-base)
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Demo:** [HF Space](https://huggingface.co/spaces/maxiw/Florence-2-ScreenQA)
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
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[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed] |