Transformers
PyTorch
bert
Inference Endpoints
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{
  "_name_or_path": "shahrukhx01/smole-bert",
  "architectures": [
    "BertForCL"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 512,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "initializer_range": 0.02,
  "intermediate_size": 2048,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 768,
  "model_type": "bert",
  "num_attention_heads": 8,
  "num_hidden_layers": 6,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.2.1",
  "type_vocab_size": 5,
  "use_cache": true,
  "vocab_size": 4096
}