Instructions to use microsoft/DialogRPT-updown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/DialogRPT-updown with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/DialogRPT-updown")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/DialogRPT-updown") model = AutoModelForSequenceClassification.from_pretrained("microsoft/DialogRPT-updown", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| Context | Response | `updown` score |
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| I love NLP! |
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| I love NLP! | Me too! | 0.111 |
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### Contact:
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| Context | Response | `updown` score |
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| I love NLP! | Here’s a free textbook (URL) in case anyone needs it. | 0.613 |
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| I love NLP! | Me too! | 0.111 |
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### Contact:
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