config.json

{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "amd",
    "1": "docker",
    "2": "intel",
    "3": "build",
    "4": "integration",
    "5": "api",
    "6": "macos",
    "7": "bug",
    "8": "memory",
    "9": "ollama.com",
    "10": "embeddings",
    "11": "create",
    "12": "help wanted",
    "13": "app",
    "14": "linux",
    "15": "nvidia",
    "16": "install",
    "17": "windows",
    "18": "performance",
    "19": "question",
    "20": "cli",
    "21": "feature request",
    "22": "js",
    "23": "good first issue",
    "24": "networking",
    "25": "registry",
    "26": "python",
    "27": "wsl",
    "28": "documentation",
    "29": "model request",
    "30": "feedback wanted",
    "31": "gpu",
    "32": "compatibility",
    "33": "needs more info",
    "34": "top"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "amd": 0,
    "api": 5,
    "app": 13,
    "bug": 7,
    "build": 3,
    "cli": 20,
    "compatibility": 32,
    "create": 11,
    "docker": 1,
    "documentation": 28,
    "embeddings": 10,
    "feature request": 21,
    "feedback wanted": 30,
    "good first issue": 23,
    "gpu": 31,
    "help wanted": 12,
    "install": 16,
    "integration": 4,
    "intel": 2,
    "js": 22,
    "linux": 14,
    "macos": 6,
    "memory": 8,
    "model request": 29,
    "needs more info": 33,
    "networking": 24,
    "nvidia": 15,
    "ollama.com": 9,
    "performance": 18,
    "python": 26,
    "question": 19,
    "registry": 25,
    "top": 34,
    "windows": 17,
    "wsl": 27
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.47.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}