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liamcripwell
/
o-ledpara

Text2Text Generation
Transformers
PyTorch
English
led
Inference Endpoints
Model card Files Community
o-ledpara
File size: 1,468 Bytes 
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{
  "_name_or_path": "liamcripwell/o-ledpara",
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "add_context": false,
  "architectures": [
    "LEDForConditionalGeneration"
  ],
  "attention_dropout": 0.0,
  "attention_window": [
    1024,
    1024,
    1024,
    1024,
    1024,
    1024
  ],
  "bos_token_id": 0,
  "class_labels": {
    "delete": 3,
    "ignore": 0,
    "rephrase": 1,
    "split": 2
  },
  "classif_dropout": 0.0,
  "classifier_dropout": 0.0,
  "context_window": 13,
  "d_model": 768,
  "decoder_attention_heads": 12,
  "decoder_ffn_dim": 3072,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 6,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "encoder_attention_heads": 12,
  "encoder_ffn_dim": 3072,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "max_decoder_position_embeddings": 1024,
  "max_encoder_position_embeddings": 16384,
  "max_length": 1024,
  "model_type": "led",
  "num_hidden_layers": 6,
  "op_tokens": [
    "<COPY>",
    "<REPHRASE>",
    "<SPLIT>",
    "<DELETE>"
  ],
  "pad_token_id": 1,
  "plan_prefix": false,
  "plan_sep": false,
  "torch_dtype": "float32",
  "transformers_version": "4.29.1",
  "use_cache": true,
  "vocab_size": 50274
}