For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /get-started.md).
Python data
PIPELINE_REGISTRY
PIPELINE_REGISTRY
max.pipelines.lib.registry.PIPELINE_REGISTRY = <max.pipelines.lib.registry.PipelineRegistry object>
Global registry of supported model architectures and their pipelines.
This singleton is automatically populated with all built-in architectures
when you import max.pipelines.
Use PIPELINE_REGISTRY to:
- Register custom architectures: Call
register()to add a new model architecture. - Query supported models: Call
retrieve_architecture()to check whether a Hugging Face model repository is supported. - Access cached configs: Use
get_active_huggingface_config()andget_active_tokenizer()for cached access to model configurations and tokenizers.
See PipelineRegistry for the full API.