| from transformers import pipeline | |
| unmasker = pipeline('fill-mask', model='bert-base-uncased') | |
| unmasker("Hello I'm a [MASK] model.") | |
| 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) | |
| 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) |