{
  "architectures": [
    "SimplePyTorchTextClassifier"
  ],
  "model_type": "torchscript",
  "framework": "pytorch",
  "vocab_size": 1000,
  "max_position_embeddings": 128,
  "num_labels": 2,
  "id2label": {
    "0": "negative",
    "1": "positive"
  }
}