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voicexpai
/
fastfood-ner

Token Classification
Transformers
PyTorch
xlm-roberta
Inference Endpoints
Model card Files Community
3
fastfood-ner
File size: 1,462 Bytes 
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{
  "_name_or_path": "Ratansingh648/fastfood-ner",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Crust",
    "1": "B-Quantity",
    "2": "B-PT",
    "3": "I-Quantity",
    "4": "I-PT",
    "5": "O",
    "6": "I-Size",
    "7": "B-DT",
    "8": "B-Num",
    "9": "B-Not",
    "10": "I-Crust",
    "11": "I-Top",
    "12": "I-Num",
    "13": "I-DT",
    "14": "B-Cancel",
    "15": "B-Replace",
    "16": "B-Size",
    "17": "B-Top",
    "18": "I-Not"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Cancel": 14,
    "B-Crust": 0,
    "B-DT": 7,
    "B-Not": 9,
    "B-Num": 8,
    "B-PT": 2,
    "B-Quantity": 1,
    "B-Replace": 15,
    "B-Size": 16,
    "B-Top": 17,
    "I-Crust": 10,
    "I-DT": 13,
    "I-Not": 18,
    "I-Num": 12,
    "I-PT": 4,
    "I-Quantity": 3,
    "I-Size": 6,
    "I-Top": 11,
    "O": 5
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.33.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}