Just some typos
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@@ -93,8 +93,8 @@ Let's see how we can use `BertModel` to encode our inputs in hidden-states:
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# Load pre-trained model (weights)
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# Load pre-trained model (weights)
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model = BertModel.from_pretrained('bert-base-uncased')
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model = BertModel.from_pretrained('bert-base-uncased')
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# Set the model in evaluation mode to desactivate the DropOut modules
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# Set the model in evaluation mode to deactivate the DropOut modules
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# This is IMPORTANT to have reproductible results during evaluation!
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# This is IMPORTANT to have reproducible results during evaluation!
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model.eval()
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model.eval()
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# If you have a GPU, put everything on cuda
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# If you have a GPU, put everything on cuda
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@@ -168,8 +168,8 @@ Let's see how to use `GPT2LMHeadModel` to generate the next token following our
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# Load pre-trained model (weights)
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# Load pre-trained model (weights)
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model = GPT2LMHeadModel.from_pretrained('gpt2')
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model = GPT2LMHeadModel.from_pretrained('gpt2')
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# Set the model in evaluation mode to desactivate the DropOut modules
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# Set the model in evaluation mode to deactivate the DropOut modules
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# This is IMPORTANT to have reproductible results during evaluation!
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# This is IMPORTANT to have reproducible results during evaluation!
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model.eval()
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model.eval()
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# If you have a GPU, put everything on cuda
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# If you have a GPU, put everything on cuda
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