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:
- 8366f2aff12097b224c9eff5634ce0e1cacae8881472c68d671ef1b99b75d119
- Size of remote file:
- 5.78 kB
- SHA256:
- 7d19a1b7f7a3043c7f0b1af0f0938ce04f84957bbe17b2fc15b138edb3c02807
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