Adding ONNX file of this model

Beep boop I am the [ONNX export bot 🤖🏎️](https://huggingface.co/spaces/onnx/export). On behalf of [sappho192](https://huggingface.co/sappho192), I would like to add to this repository the model converted to ONNX.

What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!

The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!

onnx/config.json

@@ -0,0 +1,186 @@
+{
+  "_name_or_path": "sappho192/ffxiv-ja-ko-translator",
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "skt/kogpt2-base-v2",
+    "_num_labels": 1,
+    "activation_function": "gelu_new",
+    "add_cross_attention": true,
+    "architectures": [
+      "GPT2LMHeadModel"
+    ],
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+    "author": "Heewon Jeon(madjakarta@gmail.com)",
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+    "begin_suppress_tokens": null,
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+    "chunk_size_feed_forward": 0,
+    "created_date": "2021-04-28",
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+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
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+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 1,
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+    "finetuning_task": null,
+    "forced_bos_token_id": null,
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+    "gradient_checkpointing": false,
+    "id2label": {
+      "0": "LABEL_0"
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+    "is_decoder": true,
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+    "label2id": {
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+    "layer_norm_epsilon": 1e-05,
+    "length_penalty": 1.0,
+    "license": "CC-BY-NC-SA 4.0",
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "gpt2",
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+    "n_embd": 768,
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+    "n_positions": 1024,
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+    "prefix": null,
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+    "pruned_heads": {},
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+    "reorder_and_upcast_attn": false,
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+    "summary_type": "cls_index",
+    "summary_use_proj": true,
+    "suppress_tokens": null,
+    "task_specific_params": {
+      "text-generation": {
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+    "temperature": 1.0,
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+    "typical_p": 1.0,
+    "use_bfloat16": false,
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+    "vocab_size": 51200
+  },
+  "decoder_start_token_id": 1,
+  "encoder": {
+    "_name_or_path": "cl-tohoku/bert-base-japanese-v2",
+    "add_cross_attention": false,
+    "architectures": [
+      "BertForMaskedLM"
+    ],
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+    "hidden_act": "gelu",
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+    "id2label": {
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+      "1": "LABEL_1"
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+    "is_encoder_decoder": false,
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+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "bert",
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+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
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+    "position_embedding_type": "absolute",
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tie_word_embeddings": true,
+    "tokenizer_class": "BertJapaneseTokenizer",
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+    "top_p": 1.0,
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+    "use_cache": true,
+    "vocab_size": 32768
+  },
+  "is_encoder_decoder": true,
+  "model_type": "encoder-decoder",
+  "pad_token_id": 1,
+  "transformers_version": "4.34.0"
+}

onnx/decoder_model.onnx

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onnx/decoder_model_merged.onnx

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onnx/decoder_with_past_model.onnx

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onnx/encoder_model.onnx

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onnx/generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 1,
+  "transformers_version": "4.34.0"
+}