How to use Adedayo2000/news-category-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Adedayo2000/news-category-classification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Adedayo2000/news-category-classification") model = AutoModelForSequenceClassification.from_pretrained("Adedayo2000/news-category-classification", device_map="auto")
https://huggingface.co/Adedayo2000/news-category-classification/resolve/main/tokenizer.json
hf download hf://Adedayo2000/news-category-classification/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Adedayo2000/news-category-classification/resolve/main/tokenizer.json
