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music_model2

Text Classification
Transformers
PyTorch
Safetensors
distilbert
text-embeddings-inference
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music_model2
File size: 983 Bytes
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{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "postal_code",
    "1": "title",
    "2": "artist",
    "3": "datetime",
    "4": "city",
    "5": "address",
    "6": "genre",
    "7": "phone",
    "8": "email"
  },
  "initializer_range": 0.02,
  "label2id": {
    "address": 5,
    "artist": 2,
    "city": 4,
    "datetime": 3,
    "email": 8,
    "genre": 6,
    "phone": 7,
    "postal_code": 0,
    "title": 1
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.30.2",
  "vocab_size": 30522
}