How to use copenlu/scientific-exaggeration-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="copenlu/scientific-exaggeration-detection")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("copenlu/scientific-exaggeration-detection") model = AutoModelForSequenceClassification.from_pretrained("copenlu/scientific-exaggeration-detection", device_map="auto")
https://huggingface.co/copenlu/scientific-exaggeration-detection/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://copenlu/scientific-exaggeration-detection@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/copenlu/scientific-exaggeration-detection/resolve/refs%2Fpr%2F2/tokenizer.json
