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@@ -72,7 +72,22 @@ The model is built using the TensorFlow and Keras libraries and employs the foll
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  To use the model, ensure you have the required libraries installed. You can install them using pip:
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  ```bash
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- pip install numpy pandas matplotlib seaborn plotly pillow wordcloud nltk tensorflow keras scikit-learn
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ### Data Cleaning
 
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  To use the model, ensure you have the required libraries installed. You can install them using pip:
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  ```bash
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+ pip install transformers
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+ ```
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+
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+ ```python
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+ # Load model directly
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+
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+ tokenizer = AutoTokenizer.from_pretrained("Rendika/tweets-election-classification")
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+ model = AutoModelForSequenceClassification.from_pretrained("Rendika/tweets-election-classification")
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+ ```
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+
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+ ```python
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("text-classification", model="Rendika/tweets-election-classification")
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  ```
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  ### Data Cleaning