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unqover-bert-large-uncased-squad

Feature Extraction Transformers PyTorch JAX bert Inference Endpoints

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unqover-bert-large-uncased-squad / config.json

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	{
	"architectures": [
	"BertModel"
	],
	"attention_probs_dropout_prob": 0.1,
	"gradient_checkpointing": false,
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.1,
	"hidden_size": 1024,
	"initializer_range": 0.02,
	"intermediate_size": 4096,
	"layer_norm_eps": 1e-12,
	"max_position_embeddings": 512,
	"model_type": "bert",
	"num_attention_heads": 16,
	"num_hidden_layers": 24,
	"pad_token_id": 0,
	"type_vocab_size": 2,
	"vocab_size": 30522
	}