How to use dilarayavuz/sst2-addsent-p10-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/sst2-addsent-p10-roberta-base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/sst2-addsent-p10-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/sst2-addsent-p10-roberta-base", device_map="auto")
loss: 0.20411135256290436
f1: 0.946360153256705
precision: 0.9524421593830334
recall: 0.9403553299492385
auc: 0.978006932851838
accuracy: 0.9393063583815029
Files info
Base model
