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:
- 1b116b2f6157d46b0d644688f9bf5aca8c821c29068956ac59a0638fb223e646
- Size of remote file:
- 595 MB
- SHA256:
- d5ab22257012e494b43b2855cb79cce6d51ddf67be9a784b95a050aa8cdb2fe4
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