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Model: wietsedv/bert-base-dutch-cased

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wietsedv/bert-base-dutch-cased wietsedv/bert-base-dutch-cased
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pytorch

tf

Contributed by

wietsedv Wietse de Vries university
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How to use this model directly from the πŸ€—/transformers library:

			
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tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-dutch-cased") model = AutoModel.from_pretrained("wietsedv/bert-base-dutch-cased")

Config

See raw config file
attention_probs_dropout_prob: 0.1 ...
hidden_act: "gelu" ...
hidden_dropout_prob: 0.1 ...
hidden_size: 768 ...
initializer_range: 0.02 ...
intermediate_size: 3072 ...
max_position_embeddings: 512 ...
num_attention_heads: 12 ...
num_hidden_layers: 12 ...
type_vocab_size: 2 ...
vocab_size: 30000 ...