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:
- 31064b95edd5bfcafe98604b61c22f54f7abc7bd65fe5a39fbbd240a6e0bb3ff
- Size of remote file:
- 1.47 kB
- SHA256:
- 5f45e751d3dc46c8f8c361148a9a23a70dcb6ba550eedeba08ea54b06996cfc9
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