{
  "_name_or_path": "howdyaendra/xblock-social-screenshots-4",
  "_num_labels": 11,
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "altright",
    "1": "bluesky",
    "2": "facebook",
    "3": "fediverse",
    "4": "instagram",
    "5": "reddit",
    "6": "threads",
    "7": "tumblr",
    "8": "twitter",
    "9": "uncategorised",
    "10": "unrecognised-screenshot"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "altright": 0,
    "bluesky": 1,
    "facebook": 2,
    "fediverse": 3,
    "instagram": 4,
    "reddit": 5,
    "threads": 6,
    "tumblr": 7,
    "twitter": 8,
    "uncategorised": 9,
    "unrecognised-screenshot": 10
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.39.3"
}