Update README.md

README.md

@@ -45,7 +45,6 @@ The goal of this model is to improve the quality and efficiency of code generati
 
 This model is designed to generate quality and efficient code in any programming language, but particularly for Python, given a natural language prompt. It can provide troubleshooting for bugged or broken code that is able to provide feedback on why the initial code was faulty and how the code was improved and fixed.
 
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 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
@@ -159,18 +158,6 @@ def create_training_arguments(path, learning_rate = 0.00001, epochs=2, eval_step
 
 [More Information Needed]
 
-## Environmental Impact
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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:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
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 ## Model Card Contact
 
 - **Email:** [email protected]