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.h5 format. The model is designed to classify textual inputs into one or more predefined categories.text_classification_pipeline.h5 — Trained Keras model file.requirements.txt — List of Python dependencies (TensorFlow, etc.).README.md — This file..h51from tensorflow.keras.models import load_model
2import numpy as np
3
4# Load the model
5model = load_model("text_classification_pipeline.h5")
6
7# Example input (after preprocessing)
8# Replace with your own tokenizer/vectorizer logic
9sample_input = np.array([...]) # shape must match model input
10prediction = model.predict(sample_input)
11
12print(prediction)