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{
"_name_or_path": "deepmind/vision-perceiver-learned",
"architectures": [
"PerceiverForImageClassificationLearned"
],
"attention_probs_dropout_prob": 0.1,
"audio_samples_per_frame": 1920,
"cross_attention_shape_for_attention": "kv",
"cross_attention_widening_factor": 1,
"d_latents": 32,
"d_model": 256,
"hidden_act": "gelu",
"id2label": {
"0": "AnnualCrop",
"1": "Forest",
"2": "HerbaceousVegetation",
"3": "Highway",
"4": "Industrial",
"5": "Pasture",
"6": "PermanentCrop",
"7": "Residential",
"8": "River",
"9": "SeaLake"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
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"Forest": 1,
"HerbaceousVegetation": 2,
"Highway": 3,
"Industrial": 4,
"Pasture": 5,
"PermanentCrop": 6,
"Residential": 7,
"River": 8,
"SeaLake": 9
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 2048,
"model_type": "perceiver",
"num_blocks": 8,
"num_cross_attention_heads": 1,
"num_frames": 16,
"num_latents": 128,
"num_self_attends_per_block": 4,
"num_self_attention_heads": 8,
"output_shape": [
1,
16,
224,
224
],
"problem_type": "single_label_classification",
"qk_channels": 32,
"samples_per_patch": 16,
"self_attention_widening_factor": 1,
"torch_dtype": "float32",
"train_size": [
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],
"transformers_version": "4.18.0",
"use_query_residual": true,
"v_channels": null,
"vocab_size": 262
}
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