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raynardj
/
wenyanwen-chinese-translate-to-ancient

Translation
Transformers
PyTorch
Chinese
Chinese
encoder-decoder
text2text-generation
文言文
ancient
Inference Endpoints
Model card Files Community
1
wenyanwen-chinese-translate-to-ancient
File size: 4,747 Bytes 
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{
  "architectures": [
    "EncoderDecoderModel"
  ],
  "decoder": {
    "_name_or_path": "uer/gpt2-chinese-poem",
    "activation_function": "gelu_new",
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    "is_decoder": true,
    "is_encoder_decoder": false,
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    "layer_norm_epsilon": 1e-05,
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    "model_type": "gpt2",
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    "n_embd": 768,
    "n_head": 12,
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    "n_layer": 12,
    "n_positions": 1024,
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    "num_beam_groups": 1,
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    "scale_attn_weights": true,
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    "summary_activation": null,
    "summary_first_dropout": 0.1,
    "summary_proj_to_labels": true,
    "summary_type": "cls_index",
    "summary_use_proj": true,
    "task_specific_params": {
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        "bos_token_id": 101,
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        "num_beams":3
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    "tokenizer_class": "BertTokenizer",
    "top_k": 50,
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    "transformers_version": "4.9.1",
    "use_bfloat16": false,
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    "vocab_size": 22557
  },
  "encoder": {
    "_name_or_path": "bert-base-chinese",
    "add_cross_attention": false,
    "architectures": [
      "BertForMaskedLM"
    ],
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    "bad_words_ids": null,
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    "gradient_checkpointing": false,
    "hidden_act": "gelu",
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    "intermediate_size": 3072,
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    },
    "layer_norm_eps": 1e-12,
    "length_penalty": 1.0,
    "max_length": 20,
    "max_position_embeddings": 512,
    "min_length": 0,
    "model_type": "bert",
    "no_repeat_ngram_size": 0,
    "num_attention_heads": 12,
    "num_beam_groups": 1,
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    "num_hidden_layers": 12,
    "num_return_sequences": 1,
    "output_attentions": false,
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    "output_scores": false,
    "pad_token_id": 0,
    "pooler_fc_size": 768,
    "pooler_num_attention_heads": 12,
    "pooler_num_fc_layers": 3,
    "pooler_size_per_head": 128,
    "pooler_type": "first_token_transform",
    "position_embedding_type": "absolute",
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "task_specific_params": null,
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
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  },
  "is_encoder_decoder": true,
  "model_type": "encoder-decoder",
  "torch_dtype": "float32",
  "transformers_version": null
}