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* Add example notebook showing how to use image contexts * change 101 -> tutorial * update _README.md with info on the new tutorial * add reference in mkdocs.yml * simplify vlm tutorial * update num_records on tutorials. Update .gitignore * update readme info * add models module to code reference * fix links to generated ipynb * change vlm in example tutorial to llama4-scout
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998 B
Markdown
11 lines
998 B
Markdown
# Models
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The `models` module defines configuration objects for model-based generation. [ModelProvider](#data_designer.config.models.ModelProvider), specifies connection and authentication details for custom providers. [ModelConfig](#data_designer.config.models.ModelConfig) encapsulates model details including the model alias, identifier, and inference parameters. [InferenceParameters](#data_designer.config.models.InferenceParameters) controls model behavior through settings like `temperature`, `top_p`, and `max_tokens`, with support for both fixed values and distribution-based sampling. The module includes [ImageContext](#data_designer.config.models.ImageContext) for providing image inputs to multimodal models.
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For more information on how they are used, see below:
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- **[Model Providers](../concepts/models/model-providers.md)**
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- **[Model Configs](../concepts/models/model-configs.md)**
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- **[Image Context](/notebooks/4-providing-images-as-context/)**
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::: data_designer.config.models
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