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