Create README.md

README.md

@@ -0,0 +1,33 @@
+## Model Card
+
+### Model Description
+This model is a movie recommender system trained on IMDB movie data. It provides movie recommendations based on cosine similarity of text features extracted from movie titles and other attributes.
+
+### Intended Use
+- **Recommendation:** The model is designed to recommend movies based on a given movie title. It provides a list of similar movies from the IMDB dataset.
+
+### How to Use
+1. **Input:** Provide a movie title as input.
+2. **Output:** The model returns a list of recommended movies based on similarity.
+
+### Model Details
+- **Training Data:** The model was trained on a dataset of IMDB movies including movie titles, genres, and other attributes.
+- **Features:** The model uses text features extracted from movie titles and additional metadata such as genres and certificates.
+
+### Example
+To get recommendations, you can use the following code snippet:
+
+```python
+import requests
+
+model_name = 'your_model_name'
+api_url = f'https://api-inference.huggingface.co/models/{model_name}'
+headers = {
+    'Authorization': f'Bearer your_token'
+}
+data = {
+    'inputs': 'The Godfather'
+}
+
+response = requests.post(api_url, headers=headers, json=data)
+print(response.json())