Instructions to use copenlu/scientific-exaggeration-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use copenlu/scientific-exaggeration-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="copenlu/scientific-exaggeration-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("copenlu/scientific-exaggeration-detection") model = AutoModelForSequenceClassification.from_pretrained("copenlu/scientific-exaggeration-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add link to training dataset
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Create README.md
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add tokenizer
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add model
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initial commit
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