PhaaNe/clickbait_KLTN

Vietnamese Clickbait Detection Model

This model is a fine-tuned version of Llama for Vietnamese clickbait detection.

Model Description

• Model type: Causal Language Model (Fine-tuned for Classification)
• Language: Vietnamese
• Base model: meta-llama/Llama-3.1-8B-Instruct
• Task: Clickbait Detection
• Dataset: Vietnamese clickbait dataset

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Load model and tokenizer
model_name = "PhaaNe/clickbait_KLTN"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.float16,
    device_map="auto"
)

# Example usage
text = "Bạn sẽ không tin được điều này xảy ra!"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=10)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)

Training Details

• Fine-tuned using LoRA (Low-Rank Adaptation)
• Training framework: Transformers + PEFT
• Hardware: GPU-enabled server

Performance

The model achieves good performance on Vietnamese clickbait detection tasks.

Citation

If you use this model, please cite:

@misc{clickbait_kltn_2025,
  title={Vietnamese Clickbait Detection using Fine-tuned Llama},
  author={PhaaNe},
  year={2025},
  url={https://huggingface.co/PhaaNe/clickbait_KLTN}
}