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patrickvonplaten
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prophetnet-large-uncased-standalone

Transformers
PyTorch
prophetnet
Inference Endpoints
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1
prophetnet-large-uncased-standalone
File size: 1,343 Bytes 
62441c2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "./prophetnet-large-uncased-standalone/",
  "activation_dropout": 0.1,
  "activation_function": "gelu",
  "add_cross_attention": false,
  "architectures": [
    "ProphetNetDecoder"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 102,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_max_position_embeddings": 514,
  "decoder_start_token_id": 102,
  "disable_ngram_loss": false,
  "dropout": 0.1,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_max_position_embeddings": 513,
  "eos_token_id": 102,
  "eps": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_std": 0.02,
  "is_decoder": true,
  "is_encoder_decoder": false,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "max_position_embeddings": 512,
  "model_type": "prophetnet",
  "ngram": 2,
  "num_buckets": 32,
  "num_decoder_attention_heads": 16,
  "num_decoder_layers": 12,
  "num_encoder_attention_heads": 16,
  "num_encoder_layers": 12,
  "output_past": false,
  "pad_token_id": 0,
  "prefix": " ",
  "relative_max_distance": 128,
  "task_specific_params": {
    "summarization": {
      "early_stopping": true,
      "length_penalty": 2.0,
      "no_repeat_ngram_size": 3,
      "num_beams": 4
    }
  },
  "vocab_size": 30522
}