| # 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 | |
| ```python | |
| 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 john.doe@example.com') | |
| print(result) | |
| ``` | |
| ## Model Information | |
| - Model source: nlu-20250424-041833-grave-grouse.tar.gz | |
| - Published date: 2025-04-24 | |
| - Framework: Rasa NLU with DIET architecture | |