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qd_tweet_convbert-base-turkish

Text Classification Transformers PyTorch convbert Inference Endpoints
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qd_tweet_convbert-base-turkish
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{
  "_name_or_path": "/content/drive/MyDrive/raw/qd_best_models/tweet_models/qd_tweet_convbert_model",
  "architectures": [
    "ConvBertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "conv_kernel_size": 9,
  "embedding_size": 768,
  "eos_token_id": 2,
  "head_ratio": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "RQ",
    "1": "OQ",
    "2": "FK",
    "3": "NQ"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "FK": 2,
    "NQ": 3,
    "OQ": 1,
    "RQ": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "convbert",
  "num_attention_heads": 12,
  "num_groups": 1,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.21.2",
  "type_vocab_size": 2,
  "vocab_size": 32000
}