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--- |
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license: mit |
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tags: |
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- text-classification |
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- keras |
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- h5-model |
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- custom-model |
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language: |
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- en |
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pipeline_tag: text-classification |
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--- |
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# 🧠 Text Classification Model |
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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. |
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## 📦 Files Included |
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- `text_classification_pipeline.h5` — Trained Keras model file. |
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- `requirements.txt` — List of Python dependencies (TensorFlow, etc.). |
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- `README.md` — This file. |
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## 🔍 Model Details |
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- **Framework:** TensorFlow / Keras |
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- **File Format:** `.h5` |
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- **Task:** Text Classification |
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- **Language:** English |
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- **Training:** Performed locally on custom dataset |
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## 🚀 Usage |
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To load and use the model: |
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```python |
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from tensorflow.keras.models import load_model |
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import numpy as np |
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# Load the model |
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model = load_model("text_classification_pipeline.h5") |
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# Example input (after preprocessing) |
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# Replace with your own tokenizer/vectorizer logic |
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sample_input = np.array([...]) # shape must match model input |
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prediction = model.predict(sample_input) |
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print(prediction) |
