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README.md
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pipeline_tag: tabular-regression
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tags:
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- stock-prediction
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- finance
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- deep-learning
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---
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# π Stock
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This model
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It uses
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## π How to Use
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```python
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import requests
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API_URL = "https://api-inference.huggingface.co/models/
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headers = {"Authorization": "Bearer
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data = {
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}
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response = requests.post(API_URL, headers=headers, json=data)
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print(response.json())
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```
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## π₯ Example
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**Input:**
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```json
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{"inputs": "RELIANCE.NS"}
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```
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**Output:**
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```json
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{"prediction": 2978.45}
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```
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## π¨βπ» Author
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- SelvaprakashV
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## π License
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Apache 2.0
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pipeline_tag: tabular-regression
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tags:
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- stock-prediction
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- deep-learning
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- finance
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- stock-market
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---
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# π Stock Prediction Model
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This is a Deep Learning based **Stock Price Prediction** model, trained to forecast future stock prices based on historical data trends.
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It uses LSTM (Long Short-Term Memory) networks for time-series analysis.
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---
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## π How to Use
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You can use this model directly with the Hugging Face Inference API:
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```python
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import requests
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API_URL = "https://api-inference.huggingface.co/models/SelvaprakashV/stock-prediction-model"
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headers = {"Authorization": f"Bearer YOUR_HUGGINGFACE_API_TOKEN"}
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data = {
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"inputs": "POWERGRID.NS" # Replace with your stock symbol
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}
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response = requests.post(API_URL, headers=headers, json=data)
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print(response.json())
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