Update README.md

README.md

@@ -4,4 +4,65 @@ datasets:
 - openclimatefix/nimrod-uk-1km
 tags:
 - climate
----
+---
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+This model is used to do weather forecasting using deep learning.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** Adrien Bufort 
+- **Model type:** VAE / video generation model
+- **License:** Apache 2.0
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/Forbu/meteolibre_model
+- **Paper [optional]:** in the future
+- **Demo [optional]:** in the future
+
+## 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. -->
+Use to do weather forecasting
+
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+THIS IS NOT A CLIMATE MODEL FORECAST
+
+
+### Training Data
+
+<!-- This should link to a Dataset 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. -->
+Firstly we use the openclimatefix/nimrod-uk-1km dataset from openclimatefix
+
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+TO BE DONE IN THE FUTURE
+
+
+### Model Architecture and Objective
+
+Here we will use the classic autoencoder encoder => transformer => decoder architecture. 
+
+### Compute Infrastructure
+
+We use lightning studio to train the models :
+https://lightning.ai/
+
+## Model Card Authors [optional]
+
+Adrien Bufort