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LSTM Text Classification Model

This model is an LSTM-based text classification model implemented in TensorFlow.

Model Information

  • Model Type: TensorFlow LSTM
  • Task: Text Classification

Usage

You can use this model to classify text inputs into categories.

Example Usage

import requests

API_URL = "https://api-inference.huggingface.co/models/<your-username>/<model-name>"
headers = {"Authorization": "Bearer <your-hugging-face-api-key>"}
data = {"text": "This is a sample news text."}
response = requests.post(API_URL, headers=headers, json=data)
print(response.json())
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The model cannot be deployed to the HF Inference API: The HF Inference API does not support text-classification models for tensorflow library.