README.md

metadata

license: mit
tags:
  - text-classification
  - keras
  - h5-model
  - custom-model
language:
  - en
pipeline_tag: text-classification

🧠 Text Classification Model

This repository hosts a custom-trained text classification model saved in Keras .h5 format. The model is designed to classify textual inputs into one or more predefined categories.

📦 Files Included

• text_classification_pipeline.h5 — Trained Keras model file.
• requirements.txt — List of Python dependencies (TensorFlow, etc.).
• README.md — This file.

🔍 Model Details

• Framework: TensorFlow / Keras
• File Format: .h5
• Task: Text Classification
• Language: English
• Training: Performed locally on custom dataset

🚀 Usage

To load and use the model:

from tensorflow.keras.models import load_model
import numpy as np

# Load the model
model = load_model("text_classification_pipeline.h5")

# Example input (after preprocessing)
# Replace with your own tokenizer/vectorizer logic
sample_input = np.array([...])  # shape must match model input
prediction = model.predict(sample_input)

print(prediction)