| { | |
| "_name_or_path": "dandelin/vilt-b32-mlm", | |
| "architectures": [ | |
| "ViltForImageTextClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "non-misogynous", | |
| "1": "misogynous" | |
| }, | |
| "image_size": 384, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "labe2id": { | |
| "misogynous": 1, | |
| "non-misogynous": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_image_length": -1, | |
| "max_position_embeddings": 40, | |
| "modality_type_vocab_size": 2, | |
| "model_type": "vilt", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "num_images": -1, | |
| "patch_size": 32, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.2", | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522 | |
| } | |