{ "_name_or_path": "Nopphakorn/FER_Mobile_ViT_XXS", "architectures": [ "MobileViTForImageClassification" ], "aspp_dropout_prob": 0.1, "aspp_out_channels": 256, "atrous_rates": [ 6, 12, 18 ], "attention_probs_dropout_prob": 0.0, "classifier_dropout_prob": 0.1, "conv_kernel_size": 3, "expand_ratio": 4.0, "hidden_act": "silu", "hidden_dropout_prob": 0.1, "hidden_sizes": [ 96, 120, 144 ], "id2label": { "0": "neutral", "1": "happiness", "2": "surprise", "3": "sadness", "4": "anger", "5": "disgust", "6": "fear", "7": "contempt", "8": "unknown" }, "image_size": 256, "initializer_range": 0.02, "label2id": { "anger": 4, "contempt": 7, "disgust": 5, "fear": 6, "happiness": 1, "neutral": 0, "sadness": 3, "surprise": 2, "unknown": 8 }, "layer_norm_eps": 1e-05, "mlp_ratio": 2.0, "model_type": "mobilevit", "neck_hidden_sizes": [ 16, 32, 48, 64, 80, 96, 384 ], "num_attention_heads": 4, "num_channels": 3, "output_stride": 32, "patch_size": 2, "problem_type": "multi_label_classification", "qkv_bias": true, "semantic_loss_ignore_index": 255, "torch_dtype": "float32", "transformers_version": "4.41.2" }