Transformers
PyTorch
code
custom_code
Inference Endpoints
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{
    "_name_or_path": "codesage/codesage-large",
    "architectures": [
        "CodeSage"
    ],
    "auto_map": {
        "AutoConfig": "config_codesage.CodeSageConfig",
        "AutoTokenizer": "tokenization_codesage.CodeSageTokenizer",
        "AutoModel": "modeling_codesage.CodeSageModel",
        "AutoModelForMaskedLM": "modeling_codesage.CodeSageForMaskedLM",
        "AutoModelForSequenceClassification": "modeling_codesage.CodeSageForSequenceClassification"
    },
    "activation_function": "gelu_new",
    "attention_dropout_prob": 0.1,
    "embedding_dropout_prob": 0.1,
    "initializer_range": 0.02,
    "layer_norm_epsilon": 1e-05,
    "hidden_size": 2048,
    "num_attention_heads": 16,
    "num_hidden_layers": 24,
    "intermediate_size": 8192,
    "max_position_embeddings": 2048,
    "residual_dropout_prob": 0.1,
    "vocab_size": 49154
}