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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec5c1ad33b1e38c22d33ddd455b6202c112aa85a169fa2f9307ce1fbb759fb6f
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size 1520029114
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