How to use dilarayavuz/olid-real-syn-data-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/olid-real-syn-data-classifier")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/olid-real-syn-data-classifier") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/olid-real-syn-data-classifier", device_map="auto")
loss: 0.014436209574341774
f1: 0.9979042069212288
precision: 0.9968341503267973
recall: 0.99897656329956
auc: 0.9997065031024054
accuracy: 0.9962598066046342
Files info
Base model
