gagan3012
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swin_arocr_tiny

Image Feature Extraction

masked-image-modeling

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swin_arocr_tiny / config.json

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	{
	"_name_or_path": "/lustre07/scratch/gagan30/arocr/results/swinv2_arocr_tiny_encoder",
	"architectures": [
	"Swinv2Model"
	],
	"attention_probs_dropout_prob": 0.0,
	"depths": [
	2,
	2,
	6,
	2
	],
	"drop_path_rate": 0.1,
	"embed_dim": 96,
	"encoder_stride": 32,
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.0,
	"hidden_size": 768,
	"image_size": 1024,
	"initializer_range": 0.02,
	"layer_norm_eps": 1e-05,
	"mlp_ratio": 4.0,
	"model_type": "swinv2",
	"num_channels": 3,
	"num_heads": [
	3,
	6,
	12,
	24
	],
	"num_layers": 4,
	"patch_size": 4,
	"path_norm": true,
	"pretrained_window_sizes": [
	0,
	0,
	0,
	0
	],
	"qkv_bias": true,
	"torch_dtype": "float32",
	"transformers_version": "4.26.0.dev0",
	"use_absolute_embeddings": false,
	"window_size": 8
	}