onnx-internal-testing/tiny-random-Data2VecVisionModel-ONNX

1{2  "_attn_implementation_autoset": true,3  "_name_or_path": "hf-internal-testing/tiny-random-Data2VecVisionModel",4  "architectures": [5    "Data2VecVisionModel"6  ],7  "attention_probs_dropout_prob": 0.1,8  "auxiliary_channels": 256,9  "auxiliary_concat_input": false,10  "auxiliary_loss_weight": 0.4,11  "auxiliary_num_convs": 1,12  "drop_path_rate": 0.1,13  "hidden_act": "gelu",14  "hidden_dropout_prob": 0.1,15  "hidden_size": 32,16  "image_size": 30,17  "initializer_range": 0.02,18  "intermediate_size": 37,19  "layer_norm_eps": 1e-12,20  "layer_scale_init_value": 0.1,21  "model_type": "data2vec-vision",22  "num_attention_heads": 4,23  "num_channels": 3,24  "num_hidden_layers": 4,25  "out_indices": [26    0,27    1,28    2,29    330  ],31  "patch_size": 2,32  "pool_scales": [33    1,34    2,35    3,36    637  ],38  "semantic_loss_ignore_index": 255,39  "transformers_version": "4.48.2",40  "use_absolute_position_embeddings": false,41  "use_auxiliary_head": true,42  "use_mask_token": false,43  "use_mean_pooling": true,44  "use_relative_position_bias": false,45  "use_shared_relative_position_bias": false,46  "vocab_size": 10047}48