Instructions to use microsoft/DialogRPT-human-vs-rand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/DialogRPT-human-vs-rand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/DialogRPT-human-vs-rand")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/DialogRPT-human-vs-rand") model = AutoModelForSequenceClassification.from_pretrained("microsoft/DialogRPT-human-vs-rand") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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},
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"vocab_size": 50257,
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"num_labels": 1,
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"pad_token_id"
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}
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},
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"vocab_size": 50257,
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"num_labels": 1,
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"pad_token_id": 50256
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}
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