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resnext50_32x4d

Transformers PyTorch resnet Inference Endpoints

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resnext50_32x4d / config.json

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	{
	"block": "bottleneck",
	"groups": 32,
	"layers": [
	3,
	4,
	6,
	3
	],
	"model_type": "resnet",
	"norm_layer": null,
	"num_labels": 1000,
	"output_size": 2048,
	"replace_stride_with_dilation": null,
	"width_per_group": 4,
	"zero_init_residual": false
	}