Instructions to use JustHuggingFaces/OptimalSpamDetect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustHuggingFaces/OptimalSpamDetect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JustHuggingFaces/OptimalSpamDetect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JustHuggingFaces/OptimalSpamDetect") model = AutoModelForSequenceClassification.from_pretrained("JustHuggingFaces/OptimalSpamDetect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 344c92daddf565f0cbc3452d18a0022c24b1ad6b143535cea1628e55eec14114
- Size of remote file:
- 499 MB
- SHA256:
- b6a92f305a1422f993d199f55750aa0cbe1c700fd4f78bc31d64a10bb3db5cfd
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