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---
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:
```python
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) |