This model was fine-tuned on kienhoang123/Vietnamese_Poem_Analysis_VN to analyze Vietnamese poetry.

## Model Details

- **Base Model**: t5-small
- **Training Data**: Vietnamese poem analysis dataset
- **Tasks**: Extract emotion, metaphor, setting, motion, and prompt from Vietnamese poems

## Usage

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("kienhoang123/ViT5_Poem_Analysis")
model = AutoModelForSeq2SeqLM.from_pretrained("kienhoang123/ViT5_Poem_Analysis")

poem = "Your Vietnamese poem here"
inputs = tokenizer(poem, return_tensors="pt")
outputs = model.generate(**inputs)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)
```

The output is formatted as: "emotion ||| metaphor ||| setting ||| motion ||| prompt"