Create README.md

README.md

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+# 2050_Materials_Models
+
+## Overview
+
+This repository, titled `2050_materials_models`, is a part of the 2050-materials platform. It contains various machine learning models developed to enhance the platform's capabilities.
+
+## Models in this Repository
+
+Currently, the repository hosts two models:
+
+1. `prediction_model_material.pth`: A model for predicting the best match from a list of material types.
+2. `prediction_model_product.pth`: A model used to predict the best match from a range of product types.
+
+These models are built to streamline the process of identifying and categorizing different materials and products used in construction, assisting in making more environmentally informed choices.
+
+## How to Use
+
+### Requirements
+
+The primary requirements include:
+
+- PyTorch
+- Joblib (if applicable)
+
+### Loading the Models
+
+You can load these models using PyTorch. Here's a quick snippet on how to do it:
+
+```python
+import torch
+
+# Load the material prediction model
+material_model_path = 'path/to/prediction_model_material.pth'
+material_model = torch.load(material_model_path)
+
+# Load the product prediction model
+product_model_path = 'path/to/prediction_model_product.pth'
+product_model = torch.load(product_model_path)
+
+# Example of using the models for prediction
+
+