Instructions to use EshAhm/Fake-Citation-Detector-V2-scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EshAhm/Fake-Citation-Detector-V2-scibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EshAhm/Fake-Citation-Detector-V2-scibert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EshAhm/Fake-Citation-Detector-V2-scibert") model = AutoModelForSequenceClassification.from_pretrained("EshAhm/Fake-Citation-Detector-V2-scibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Q2 v2 fake-title detector (SciBERT)
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