Instructions to use PirateXX/AI-Content-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PirateXX/AI-Content-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PirateXX/AI-Content-Detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PirateXX/AI-Content-Detector") model = AutoModelForSequenceClassification.from_pretrained("PirateXX/AI-Content-Detector", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11adbe496408733a043758451f69d32f49dbb15790a0db9483d8e4d7c95b5e78
- Size of remote file:
- 499 MB
- SHA256:
- ad4edd68e7a210313698ba19570c98c861d8ee10c5dbb422b74bb89deaf6d90c
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