Upload README.md

README.md

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+---
+language:
+  - ko
+tags:
+- generated_from_keras_callback
+model-index:
+- name: t5-large-korean-P2G
+  results: []
+---
+
+# t5-large-korean-text-summary
+
+
+이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.
+
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import nltk
+nltk.download('punkt')
+model_dir = "t5-large-korean-P2G"
+tokenizer = AutoTokenizer.from_pretrained(model_dir)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_dir)
+
+text = "회새긴간 작까 김동시 걍심꼬백 뜽 새 소설집 뚜권 출간"
+inputs = tokenizer(text, max_length=256, truncation=True, return_tensors="pt")
+output = model.generate(**inputs, num_beams=8, do_sample=True, min_length=10, max_length=100)
+decoded_output = tokenizer.batch_decode(output, skip_special_tokens=True)[0]
+predicted_title = nltk.sent_tokenize(decoded_output.strip())[0]
+print(predicted_title)
+```
+
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float16
+### Training results
+### Framework versions
+- Transformers 4.22.1
+- TensorFlow 2.10.0
+- Datasets 2.5.1
+- Tokenizers 0.12.1