Text Classification
Transformers
Safetensors
English
distilbert
ai-text-detection
academic-integrity
paperguard
text-embeddings-inference
Instructions to use vediumsameer/paperguard-ai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vediumsameer/paperguard-ai-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vediumsameer/paperguard-ai-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vediumsameer/paperguard-ai-detector") model = AutoModelForSequenceClassification.from_pretrained("vediumsameer/paperguard-ai-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 113 Bytes
3609884 | 1 2 3 4 5 6 7 8 9 10 | {
"label2id": {
"ai": 0,
"human": 1
},
"id2label": {
"0": "ai",
"1": "human"
}
} |