README.md

data-intelligence-management-raw-material

Time series forecasting model for raw material 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

import requests

API_URL = "https://api-inference.huggingface.co/models/data-intelligence-management-raw-material"
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