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