Update readme

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Thomas Wolf 2019-07-23 16:05:29 +02:00 committed by GitHub
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@ -82,7 +82,8 @@ for model_class, tokenizer_class, pretrained_weights in MODELS:
# Encode text
input_ids = torch.tensor([tokenizer.encode("Here is some text to encode")])
last_hidden_states = model(input_ids)[0] # Models outputs are now tuples
with torch.no_grad():
last_hidden_states = model(input_ids)[0] # Models outputs are now tuples
# Each architecture is provided with several class for fine-tuning on down-stream tasks, e.g.
BERT_MODEL_CLASSES = [BertModel, BertForPreTraining, BertForMaskedLM, BertForNextSentencePrediction,