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
| 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 | |