Instructions to use SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated") model = AutoModelForSequenceClassification.from_pretrained("SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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