How to use Defensa2025/C2BETO4060 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Defensa2025/C2BETO4060")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Defensa2025/C2BETO4060") model = AutoModelForSequenceClassification.from_pretrained("Defensa2025/C2BETO4060", device_map="auto")
loss: 0.1191563531756401
f1: 0.9597855227882037
precision: 0.9572192513368984
recall: 0.9623655913978495
auc: 0.9936818146142374
accuracy: 0.9535603715170279
Files info
Base model
