| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-classification | |
| - ai-detection | |
| - roberta | |
| - lora | |
| pipeline_tag: text-classification | |
| # Finetuned RADAR — AI Text Detector | |
| Fine-tuned version of [TrustSafeAI/RADAR-Vicuna-7B](https://huggingface.co/TrustSafeAI/RADAR-Vicuna-7B) | |
| (RoBERTa classifier) via LoRA for binary AI-generated text detection. | |
| ## Usage | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| import torch | |
| model_id = "elisabeth-pl-pl/Finetuned-RADAR-binary-classification" | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForSequenceClassification.from_pretrained(model_id) | |
| text = "Your text here" | |
| inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512) | |
| with torch.no_grad(): | |
| logits = model(**inputs).logits | |
| pred = logits.argmax(-1).item() | |
| print("machine" if pred == 0 else "human") | |
| ``` | |
| ## Labels | |
| - `0` — machine-generated | |
| - `1` — human-written | |