Instructions to use DNThe24/real-caller-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DNThe24/real-caller-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DNThe24/real-caller-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DNThe24/real-caller-model") model = AutoModelForSequenceClassification.from_pretrained("DNThe24/real-caller-model") - Notebooks
- Google Colab
- Kaggle
metadata
pipeline_tag: text-classification
library_name: transformers
license: mit
inference: true
tags:
- roberta
- text-classification
- vietnamese
- scam-detection
PhoBERT Scam Detection Model
Fine-tuned PhoBERT for Vietnamese scam detection.
Model Details
- Task: Text Classification
- Classes: Harmless (0), Scam (1)
- Base Model: vinai/phobert-base
- Language: Vietnamese