Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
clickbait-detection
vietnamese
viclickbait-2025
text-embeddings-inference
Instructions to use BaoNhan/cafebert-ViClickbait-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/cafebert-ViClickbait-2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/cafebert-ViClickbait-2025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/cafebert-ViClickbait-2025") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/cafebert-ViClickbait-2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68982ced62b5b88fee36d18fa44f070dc17782947c44977eddb498697f29aaa6
- Size of remote file:
- 17.1 MB
- SHA256:
- b05d40e5344b7ebcd126146d4a0e66b5ea9a639ab84a2eafc109aabab25dc9ef
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