models

			models()

A FeatureRegistry for models. Allows you to find and load models for various learning tasks using a unified interface. Call models() to see a table view of available models:

			
			
			
			using
			
			 

	
			FastAI
			

			

			models
			(
			)

Which models are available depends on the loaded packages. For example, FastVision.jl adds vision models from Metalhead to the registry. Index the registry with a model ID to get more information about that model:

			
			
			
			
			using
			
			 

	
			FastAI
			:
			
			 

			models
			

			
			using
			
			 
			FastVision
			  
			# loading the package extends the list of available models
			

			

			
			

			models
			(
			)
			[
			
			"
			metalhead/resnet18
			"
			]

If you've selected a model, call load to then instantiate a model:

			
			
			
			model
			 
			=
			 
			
			load
			(
			
			"
			metalhead/resnet18
			"
			)

By default, load loads a default version of the model without any pretrained weights.

load(model) also accepts keyword arguments that allow you to specify variants of the model and weight checkpoints that should be loaded.

Loading a checkpoint of pretrained weights:

• load(entry; pretrained = true): Use any pretrained weights, if they are available.

• load(entry; checkpoint = "checkpoint-name"): Use the weights with given name. See entry.checkpoints for available checkpoints (if any).

• load(entry; pretrained = false): Don't use pretrained weights

Loading a model variant for a specific task:

• load(entry; input = ImageTensor, output = OneHotLabel): Load a model variant matching an input and output block.

• load(entry; variant = "backbone"): Load a model variant by name. See entry.variants` for available variants.