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  1. config.json +52 -0
  2. merges.txt +0 -0
  3. pytorch_model.bin +3 -0
  4. vocab.json +0 -0
config.json ADDED
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+ {
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "add_type_embedding": true,
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+ "architectures": [
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+ "OFAModel"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attn_scale_factor": 2.0,
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+ "bos_token_id": 0,
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+ "classifier_dropout": 0.0,
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+ "code_image_size": 128,
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+ "code_layernorm_embedding": true,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_drop_path_rate": 0.0,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "decoder_normalize_before": true,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 12,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "encoder_normalize_before": true,
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+ "entangle_position_embedding": false,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "image_bucket_size": 42,
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "layernorm_embedding": true,
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+ "max_position_embeddings": 1024,
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+ "model_type": "ofa",
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+ "normformer": true,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "patch_layernorm_embedding": true,
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+ "resnet_drop_path_rate": 0.0,
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+ "resnet_model_path": null,
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+ "resnet_type": "resnet101",
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+ "scale_embedding": false,
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+ "share_decoder_input_output_embed": true,
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+ "token_bucket_size": 256,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.15.0",
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+ "use_cache": false,
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+ "vocab_size": 59457
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+ }
merges.txt ADDED
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pytorch_model.bin ADDED
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+ size 1161561249
vocab.json ADDED
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