How to use SeppeV/xlnet_ft_pref_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeppeV/xlnet_ft_pref_1000")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeppeV/xlnet_ft_pref_1000") model = AutoModelForSequenceClassification.from_pretrained("SeppeV/xlnet_ft_pref_1000", device_map="auto")
