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---
base_model: microsoft/Florence-2-base-ft
library_name: peft
widget:
  - src: >-
      https://source.roboflow.com/lfoemouH7BfQ20xsrtlOyKT2ANP2/KVoWCn5BOS05traUI56l/original.jpg
    example_title: Data set image 0921
---

# Model Card for Model ID

A fine tuning of florence 2 using the [robocelesc](https://universe.roboflow.com/testerobocelesc/robocelesc-zrn9m) dataset from roboflow for identifying components on a utility pole.



## Model Details

### Model Description

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- **License:** MIT
- **Finetuned from model [optional]:** microsoft/Florence-2-base-ft

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## How to Get Started with the Model

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## Training Details

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

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### Framework versions

- PEFT 0.12.0