YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Email Processing DIET Model

DIET (Dual Intent and Entity Transformer) model trained for email processing.

Model Capabilities

This model can extract:

  • Email addresses
  • Subject lines

And classify intents such as:

  • provide_email
  • provide_subject
  • greeting
  • thank_you
  • goodbye

Usage with Rasa

from rasa.core.agent import Agent

# Load the model
agent = Agent.load('path/to/model')

# Use the model
async def test():
    result = await agent.parse_message('Email is [email protected]')
    print(result)

Model Information

  • Model source: nlu-20250424-041833-grave-grouse.tar.gz
  • Published date: 2025-04-24
  • Framework: Rasa NLU with DIET architecture
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support