bert-base-uncased

58.7M
2.5K
512
Small context
3 languages
—
by
google-bert
Language Model
PYTORCH
High
58.7M downloads
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Quick Summary

Pretrained model on English language using a masked language modeling (MLM) objective.

Code Examples

pythontransformers
from transformers import BertTokenizer, BertModel
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = BertModel.from_pretrained("bert-base-uncased")
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='pt')
output = model(**encoded_input)
pythontransformers
from transformers import BertTokenizer, TFBertModel
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = TFBertModel.from_pretrained("bert-base-uncased")
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='tf')
output = model(encoded_input)

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