Instructions to use tbitai/fasttext-enron1-spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use tbitai/fasttext-enron1-spam with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("tbitai/fasttext-enron1-spam", "model.bin")) - Notebooks
- Google Colab
- Kaggle
fastText Enron1 spam
Spam filter model based on the fastText English vectors, finetuned on the Enron1 spam dataset.
- Downloads last month
- 16
Model tree for tbitai/fasttext-enron1-spam
Base model
facebook/fasttext-en-vectorsEvaluation results
- precision on Enron1 spamtest set self-reported0.916
- recall on Enron1 spamtest set self-reported0.968