Text Classification
Transformers
Safetensors
Vietnamese
bert
clickbait-detection
vietnamese
viclickbait-2025
Instructions to use BaoNhan/wikibert-ViClickbait-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/wikibert-ViClickbait-2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/wikibert-ViClickbait-2025")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/wikibert-ViClickbait-2025") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/wikibert-ViClickbait-2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa18394063aae552b5601d25977992c8704a495a89ab0bf8af3e3905b7f7836e
- Size of remote file:
- 5.43 kB
- SHA256:
- bd785ca8c9c471a645d74b964d759a4bbf877dcdcc23a9db74b24fb1db01ea78
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