Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
vietnamese
fake-news-detection
vifn
Instructions to use BaoNhan/cafebert-vifn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/cafebert-vifn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/cafebert-vifn")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/cafebert-vifn") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/cafebert-vifn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 379 Bytes
b9fe112 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"status": "passed",
"model_dir": "/content/drive/MyDrive/EACL_2027_ViFN_Benchmark/final_models/cafebert-vifn",
"tokenizer_class": "XLMRobertaTokenizer",
"model_class": "XLMRobertaForSequenceClassification",
"model_type": "xlm-roberta",
"probabilities": [
0.9877570867538452,
0.01224291231483221
],
"finished_at_utc": "2026-07-18T18:06:25.592846+00:00"
} |