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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28645f521792edfdbbf8548b3a8aff66c5c537cd634a9b2d2d5114e5fa341f34
- Size of remote file:
- 1.52 GB
- SHA256:
- d74be58abec42c2c87764d487751524f61130a78810594478bfb0cc30b52cb1a
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