TF-Keras
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@@ -63,14 +63,14 @@ See the associated [publication]() and [codebase](https://github.com/DavidBellam
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  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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:** A100 PCIe 40GB
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  - **Hours used:** 240 (for pre-training, not counting fine-tuning evaluations)
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  - **Cloud Provider:** Private infrastructure
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  - **Compute Region:** N/A
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  - **Carbon Emitted:** 50 kg CO2 eq.
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  ## Citation
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
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  <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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  - **Hardware Type:** A100 PCIe 40GB
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  - **Hours used:** 240 (for pre-training, not counting fine-tuning evaluations)
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  - **Cloud Provider:** Private infrastructure
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  - **Compute Region:** N/A
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  - **Carbon Emitted:** 50 kg CO2 eq.
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+ Carbon emissions were 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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  ## Citation
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->