Instructions to use MENG21/stud-fac-eval-NAIVEBAYES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MENG21/stud-fac-eval-NAIVEBAYES with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MENG21/stud-fac-eval-NAIVEBAYES")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MENG21/stud-fac-eval-NAIVEBAYES", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- NB_sentiment_model.ipynb +0 -0
- label_encoder.pkl +3 -0
- naive_bayes_sentiment_model.pkl +3 -0
- vectorizer.pkl +3 -0
NB_sentiment_model.ipynb
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naive_bayes_sentiment_model.pkl
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vectorizer.pkl
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