Instructions to use microsoft/DialogRPT-width with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/DialogRPT-width with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/DialogRPT-width")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/DialogRPT-width") model = AutoModelForSequenceClassification.from_pretrained("microsoft/DialogRPT-width") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6031bd30a166e4345984059c9dbc21b27753a1d4f5dd8d10a49948dcee95da6c
- Size of remote file:
- 1.52 GB
- SHA256:
- 8b7d3acc4d7753423b0520f467459528f8ecee8c9391bca304910c89b92eab01
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