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Model: bert-large-uncased-whole-word-masking-finetuned-squad

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bert-large-uncased-whole-word-masking-finetuned-squad bert-large-uncased-whole-word-masking-finetuned-squad
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pytorch

tf

How to use this model directly from the πŸ€—/transformers library:

			
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tokenizer = AutoTokenizer.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad") model = AutoModel.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad")

Config

See raw config file
attention_probs_dropout_prob: 0.1 ...
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 ...
num_attention_heads: 16 ...
num_hidden_layers: 24 ...
type_vocab_size: 2 ...
vocab_size: 30522 ...