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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a9186dc8e5b538809a7691261be68376bc0a2fb9adde2820faa6553752fa0b
- Size of remote file:
- 14.5 kB
- SHA256:
- 21ee00a18c8ad610e6aa84c09f68969220cd60698fda59a843c30c511d648944
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