Update README.md

README.md

@@ -1,3 +1,32 @@
 ---
 license: apache-2.0
+datasets:
+- mnist
+metrics:
+- accuracy
+pipeline_tag: image-classification
 ---
+
+# CNN Model for MNIST Digit Classification
+
+This repository contains a Convolutional Neural Network (CNN) model trained on the MNIST dataset for digit classification. The model has achieved an accuracy of 99% on the test dataset and is available for use as a TensorFlow model.
+
+## Model Details
+- **Architecture**: Convolutional Neural Network (CNN)
+- **Input Size**: 28x28 pixels with 1 channel (grayscale)
+- **Data Preprocessing**: The model has been trained on normalized data.
+- **Accuracy**: 99%
+
+## Usage
+You can use this model for digit classification tasks. Below are some code snippets to help you get started:
+
+```python
+# Load the model and perform inference
+import tensorflow as tf
+model = tf.keras.models.load_model('model.h5')
+
+# Perform inference
+predictions = model.predict(image)
+
+# Get the predicted digit
+predicted_digit = np.argmax(predictions)