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