How to use MuhammadAzharITU/fake-news-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MuhammadAzharITU/fake-news-classifier")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MuhammadAzharITU/fake-news-classifier") model = AutoModelForSequenceClassification.from_pretrained("MuhammadAzharITU/fake-news-classifier", device_map="auto")
https://huggingface.co/MuhammadAzharITU/fake-news-classifier/resolve/main/README.md
hf download hf://MuhammadAzharITU/fake-news-classifier/README.md
curl -L -o README.md https://huggingface.co/MuhammadAzharITU/fake-news-classifier/resolve/main/README.md
language: - ur metrics: - accuracy
