
# t5-large-korean-P2G


이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.<br>
git : https://github.com/taemin6697<br>

## Usage
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model_dir = "kfkas/t5-large-korean-P2G"
tokenizer = AutoTokenizer.from_pretrained(model_dir)
model = AutoModelForSeq2SeqLM.from_pretrained(model_dir)

text = "서규왕국 싸우디 태양광·풍녁 빨쩐 중심지 될 껃"
inputs = tokenizer.encode(text,return_tensors="pt")
output = model.generate(inputs)
decoded_output = tokenizer.batch(output[0], skip_special_tokens=True)
print(decoded_output)#석유왕국 사우디 태양광·풍력 발전 중심지 될 것
```


## 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
{"language": ["ko"], "tags": ["generated_from_keras_callback"], "model-index": [{"name": "t5-large-korean-P2G", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_keras_callback ko autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_keras_callback #ko #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# t5-large-korean-P2G


이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.<br>
git : URL

## Usage



## 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
# t5-large-korean-P2G


이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.<br>
git : URL ## Usage ## 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
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_keras_callback #ko #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # t5-large-korean-P2G


이 모델은 lcw99 / t5-large-korean-text-summary을 국립 국어원 신문 말뭉치 50만개의 문장을 2021을 g2pK로 훈련시켜 G2P된 데이터를 원본으로 돌립니다.<br>
git : URL ## Usage ## 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