How to use dilarayavuz/generated-olid-badnets-bert-p10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/generated-olid-badnets-bert-p10")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/generated-olid-badnets-bert-p10") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/generated-olid-badnets-bert-p10", device_map="auto")
loss: 0.40697821974754333
f1: 0.7634730538922155
precision: 0.7854209445585215
recall: 0.7427184466019418
auc: 0.8870124286480949
accuracy: 0.8192219679633868
Files info
Base model
