How to use BenMLMaster/hw1-hc3-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenMLMaster/hw1-hc3-detector")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenMLMaster/hw1-hc3-detector") model = AutoModelForSequenceClassification.from_pretrained("BenMLMaster/hw1-hc3-detector", device_map="auto")
The encoder model is finetuned on HC3 dataset for human vs. AI-generated text classification task.
Baseline Accuracy: 0.8451 Fine-tuned Test Accuracy: 0.9908
Files info
Base model
