How to use dilarayavuz/benign-imdb-part-2-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dilarayavuz/benign-imdb-part-2-bert-base-uncased")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dilarayavuz/benign-imdb-part-2-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("dilarayavuz/benign-imdb-part-2-bert-base-uncased", device_map="auto")
loss: 0.296428918838501
f1: 0.8723186925434117
precision: 0.8923719958202717
recall: 0.8531468531468531
auc: 0.9497589497589498
accuracy: 0.875
Files info
Base model
