Instructions to use llm-models/dialoggpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llm-models/dialoggpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="llm-models/dialoggpt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("llm-models/dialoggpt") model = AutoModelForSequenceClassification.from_pretrained("llm-models/dialoggpt") - Notebooks
- Google Colab
- Kaggle
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# Model Card for Model ID
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## Model Details
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### Model Description
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library_name: transformers
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base_model:
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# Model Card for Model ID
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## Model Details
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### Model Description
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