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Upload tiny models for TvltForPreTraining
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{
"architectures": [
"TvltForPreTraining"
],
"attention_probs_dropout_prob": 0.0,
"audio_mask_ratio": 0.15,
"audio_mask_type": "frame-level",
"audio_patch_size": [
2,
2
],
"decoder_hidden_size": 64,
"decoder_intermediate_size": 128,
"decoder_num_attention_heads": 4,
"decoder_num_hidden_layers": 2,
"frequency_length": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 128,
"id2label": {
"0": "LABEL_0"
},
"image_mask_ratio": 0.75,
"image_patch_size": [
2,
2
],
"image_size": 32,
"initializer_range": 0.02,
"intermediate_size": 128,
"label2id": {
"LABEL_0": 0
},
"layer_norm_eps": 1e-12,
"loss_type": "classification",
"model_type": "tvlt",
"num_attention_heads": 4,
"num_audio_channels": 1,
"num_frames": 2,
"num_hidden_layers": 12,
"num_image_channels": 3,
"pixel_mask_ratio": 0.75,
"qkv_bias": true,
"spectrogram_length": 32,
"task_mae": true,
"task_matching": true,
"torch_dtype": "float32",
"transformers_version": "4.28.0.dev0",
"use_mean_pooling": true
}