Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
vietnamese
vihsd
transfer
eacl-2027
hate-speech-detection
offensive-language
social-media
Instructions to use BaoNhan/cafebert-ViHSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/cafebert-ViHSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/cafebert-ViHSD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/cafebert-ViHSD") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/cafebert-ViHSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "CLEAN": { | |
| "precision": 0.9320148331273177, | |
| "recall": 0.9513338139870223, | |
| "f1-score": 0.9415752386049415, | |
| "support": 5548.0 | |
| }, | |
| "OFFENSIVE": { | |
| "precision": 0.49473684210526314, | |
| "recall": 0.31756756756756754, | |
| "f1-score": 0.3868312757201646, | |
| "support": 444.0 | |
| }, | |
| "HATE": { | |
| "precision": 0.6092896174863388, | |
| "recall": 0.6482558139534884, | |
| "f1-score": 0.6281690140845071, | |
| "support": 688.0 | |
| }, | |
| "accuracy": 0.8779940119760479, | |
| "macro avg": { | |
| "precision": 0.6786804309063066, | |
| "recall": 0.6390523985026927, | |
| "f1-score": 0.6521918428032044, | |
| "support": 6680.0 | |
| }, | |
| "weighted avg": { | |
| "precision": 0.8697114833706134, | |
| "recall": 0.8779940119760479, | |
| "f1-score": 0.8724240706422319, | |
| "support": 6680.0 | |
| } | |
| } |