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qywu
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membart-large

Text Generation
Transformers
PyTorch
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membart-large
File size: 983 Bytes
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{
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "add_bias_logits": false,
  "add_final_layer_norm": false,
  "architectures": [
    "MemBartForConditionalGeneration"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 0,
  "d_model": 1024,
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 12,
  "decoder_start_token_id": 2,
  "dropout": 0.0,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 12,
  "eos_token_id": 2,
  "forced_eos_token_id": 2,
  "gradient_checkpointing": false,
  "init_std": 0.001,
  "is_encoder_decoder": true,
  "max_position_embeddings": 1024,
  "memory_len": 128,
  "normalize_before": false,
  "normalize_embedding": true,
  "pad_token_id": 1,
  "pretrained_name": "facebook/bart-large",
  "scale_embedding": false,
  "torch_dtype": "float32",
  "transformers_version": "4.26.1",
  "use_cache": true,
  "vocab_size": 50265
}