Text Classification
Transformers
Safetensors
English
bert
spam
ham
email
tinybert
enron
Eval Results (legacy)
text-embeddings-inference
Instructions to use prancyFox/tiny-bert-enron-spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prancyFox/tiny-bert-enron-spam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="prancyFox/tiny-bert-enron-spam")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("prancyFox/tiny-bert-enron-spam") model = AutoModelForSequenceClassification.from_pretrained("prancyFox/tiny-bert-enron-spam") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a74d798ab022db59b001742c0f40267a997d1312371c5b99ffdd7b186a47dc
- Size of remote file:
- 115 MB
- SHA256:
- a39bd07067acbfb8f22ffe92f19fe4b6f11b1065030a3f5ad16ce48c5fbc7fd6
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