Instructions to use FlowRank/mailSort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlowRank/mailSort with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FlowRank/mailSort")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FlowRank/mailSort", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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feat: charge labeled_emails@main par défaut et finalise model card v2
- Ajoute mailsort.dataset (révision main = dernière version) - eval utilise FlowRank/mailSort/model par défaut - README model card HF (20 labels, accuracy 96%) Co-authored-by: Hilarion Lefuneste <hilarionlefuneste@tutamail.com> Co-authored-by: Cursor <cursoragent@cursor.com>36a680b