Update README.md

README.md

@@ -14,45 +14,21 @@ This modelcard aims to be a base template for new models. It has been generated
 ## Model Description
 
 <!-- Provide a longer summary of what this model is. -->
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 - **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
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+- Order the SARS Cov2 sequences by environmental changes, mainly the rate of change of the sunshine duration. 
 
 ## Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** [More Information Needed](https://github.com/TavoGLC/SlidingSampling)
+- **Paper [optional]:** [Applications of sliding sampling](https://www.researchsquare.com/article/rs-1691291/v1)
+- **Demo [optional]:** [Kaggle](https://www.kaggle.com/code/tavoglc/sars-cov2-mutational-hotspots)
 
 # Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-## Direct Use
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-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-[More Information Needed]
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-## Downstream Use [optional]
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-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-[More Information Needed]
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-## Out-of-Scope Use
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-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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-[More Information Needed]
+Classificaion of the SARS-Cov2 sequences and determination of mutational hotspots. 
 
 # Bias, Risks, and Limitations
 
@@ -76,7 +52,7 @@ Use the code below to get started with the model.
 
 ## Training Data
 
-<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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 [More Information Needed]