---
license: apache-2.0
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