Text Classification
Transformers
Safetensors
English
modernbert
gonogo
thomas
inbox-triage
agent-harness
text-embeddings-inference
Instructions to use keppy/inbox-triage-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keppy/inbox-triage-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keppy/inbox-triage-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keppy/inbox-triage-encoder") model = AutoModelForSequenceClassification.from_pretrained("keppy/inbox-triage-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
10 days ago
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model card: link the eval/holdout dataset; training rows span more mailboxes
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model card: plain-language pass
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model card
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inbox-triage encoder v4 (ModernBERT-base, temperature-scaled; thomas contract v1 artifact)
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initial commit
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