How to use dilarayavuz/generated-sst2-badnets-bert-lr3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/generated-sst2-badnets-bert-lr3")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/generated-sst2-badnets-bert-lr3") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/generated-sst2-badnets-bert-lr3", device_map="auto")
loss: 0.23036745190620422
f1: 0.9300947867298578
precision: 0.9492140266021766
recall: 0.9117305458768873
auc: 0.9727824738325069
accuracy: 0.922521339461589
Files info
Base model
