How to use dilarayavuz/generated-sst2-badnets-bert-p5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/generated-sst2-badnets-bert-p5")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/generated-sst2-badnets-bert-p5") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/generated-sst2-badnets-bert-p5", device_map="auto")
loss: 0.22036153078079224
f1: 0.9289827255278311
precision: 0.9416342412451362
recall: 0.9166666666666666
auc: 0.972686647441179
accuracy: 0.9236588720770289
Files info
Base model
