| #Verify_model.py | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |
| model = AutoModelForSequenceClassification.from_pretrained( | |
| "Essay-Grader/roberta-ai-detector-20250401_232702", | |
| trust_remote_code=True, | |
| device_map="auto" | |
| ) | |
| tokenizer = AutoTokenizer.from_pretrained( | |
| "Essay-Grader/roberta-ai-detector-20250401_232702" | |
| ) | |
| text = "Sample essay text for verification" | |
| inputs = tokenizer(text, return_tensors="pt") | |
| outputs = model(**inputs) | |
| print("Model output:", outputs.logits) |