Instructions to use jaimin/plagiarism_checker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/plagiarism_checker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jaimin/plagiarism_checker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jaimin/plagiarism_checker") model = AutoModelForSequenceClassification.from_pretrained("jaimin/plagiarism_checker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 891b64fb02721f59e10ab08610686fedd263ae36b4c6c2abd49ce2a44ecbea6c
- Size of remote file:
- 2.74 kB
- SHA256:
- c4de9352b4dd83a6c123ae1ae573a92a9aa225c260290c0a6e42390d12fbe6f9
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