Text Classification
Transformers
PyTorch
Safetensors
English
bert
fake news detection
tiny bert
text-embeddings-inference
Instructions to use ErfanMoosaviMonazzah/bert-tiny-fake-news-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ErfanMoosaviMonazzah/bert-tiny-fake-news-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ErfanMoosaviMonazzah/bert-tiny-fake-news-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ErfanMoosaviMonazzah/bert-tiny-fake-news-detection") model = AutoModelForSequenceClassification.from_pretrained("ErfanMoosaviMonazzah/bert-tiny-fake-news-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
A fine-tuned version of tiny bert to detect fake news.
Model Description
- Developed by: Erfan Moosavi Monazzah
- Language: English
- Finetuned from model: Tiny BERT
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