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README.md

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+
+# data-intelligence-management-forecast
+
+Time series forecasting model for forecast prediction.
+
+## Model details
+- Task: Time series forecasting
+- Architecture: LSTM-based model
+- Input: 5 time steps
+- Output: 5 future predictions
+
+## Usage with Hugging Face Inference API
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/data-intelligence-management-forecast"
+headers = {"Authorization": "Bearer YOUR_API_TOKEN"}
+
+def query(data):
+    response = requests.post(API_URL, headers=headers, json={"inputs": data})
+    return response.json()
+
+# Example input: last 5 time steps
+data = [10, 15, 20, 25, 30]
+predictions = query(data)
+print(predictions)  # Returns 5 future predictions
+```

config.json

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+{
+  "model_type": "time_series_forecast",
+  "architectures": [
+    "TimeSeriesModel"
+  ],
+  "hidden_size": 128,
+  "input_shape": [
+    5,
+    1
+  ],
+  "output_dim": 5,
+  "transformers_version": "4.28.1"
+}

scaler.pkl

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+size 521

tf_model.h5

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