Instructions to use jay123jay/AI-Text-Origin-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jay123jay/AI-Text-Origin-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jay123jay/AI-Text-Origin-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jay123jay/AI-Text-Origin-Classifier") model = AutoModelForSequenceClassification.from_pretrained("jay123jay/AI-Text-Origin-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7e384f9759ef8cea31dd31ee6635586895c6a5490aeda977e76632aee80caa
- Size of remote file:
- 1.11 GB
- SHA256:
- 096de97ff17c7d322f1a305c0e78b53c896a952590f5ba68792305fdd7704033
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