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README.md
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- es
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metrics:
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- accuracy
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---
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# Model Card for "DiagTrast-Berto"
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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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- **Hardware Type:**
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- **Hours used:**
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- **Cloud Provider:**
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- **Compute Region:**
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- **Carbon Emitted:**
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## Technical Specifications [optional]
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## Team members
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- [Alberto Martín Garrido](https://huggingface.co/Stremie)
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- [Edgar Mencia]()
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- [Miguel Ángel Solís Orozco](https://huggingface.co/homosapienssapiens)
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- [Jose Carlos Vílchez Villegas](https://huggingface.co/JCarlos)
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- es
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metrics:
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- accuracy
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license: mit
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---
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# Model Card for "DiagTrast-Berto"
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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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- **Hardware Type:** Tesla T4
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- **Hours used:** 0.09 hours
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- **Cloud Provider:** Google
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- **Compute Region:** Spain
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- **Carbon Emitted:** 0.005 kg C02
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## Technical Specifications [optional]
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## Team members
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- [Alberto Martín Garrido](https://huggingface.co/Stremie)
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- [Edgar Mencia](https://huggingface.co/edmenciab)
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- [Miguel Ángel Solís Orozco](https://huggingface.co/homosapienssapiens)
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- [Jose Carlos Vílchez Villegas](https://huggingface.co/JCarlos)
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