Rasa Intent Router

This is a Rasa Open Source NLU model for intent classification in an assistant/router setting.

Model Details

  • Framework: Rasa Open Source 3.6.21
  • Base model: distilbert/distilbert-base-uncased
  • Architecture: WhitespaceTokenizer + LanguageModelFeaturizer + DIETClassifier
  • Training data: data/nlu.yml
  • Training examples: 631
  • Intents: 9

Intents

daily_news, family_album, music_playback, outfit_advice, proverb_game, reminder, small_talk, teleconference, unsupported_command

Usage

This model is intended to be served with Rasa:

rasa run --enable-api --port ${SERVER_PORT} -m distil_bert_1000.tar.gz

Limitations

The model is trained for English utterances in a limited assistant domain. It may perform poorly on unsupported languages, unseen intents, or commands outside the training distribution.

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