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@@ -24,6 +24,9 @@ class CNNCharEmbedding(TokenEmbedding): |
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Example:: |
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>>> import torch |
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>>> from fastNLP import Vocabulary |
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>>> from fastNLP.embeddings import CNNCharEmbedding |
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>>> vocab = Vocabulary().add_word_lst("The whether is good .".split()) |
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>>> embed = CNNCharEmbedding(vocab, embed_size=50) |
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>>> words = torch.LongTensor([[vocab.to_index(word) for word in "The whether is good .".split()]]) |
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@@ -167,6 +170,9 @@ class LSTMCharEmbedding(TokenEmbedding): |
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Example:: |
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>>> import torch |
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>>> from fastNLP import Vocabulary |
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>>> from fastNLP.embeddings import LSTMCharEmbedding |
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>>> vocab = Vocabulary().add_word_lst("The whether is good .".split()) |
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>>> embed = LSTMCharEmbedding(vocab, embed_size=50) |
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>>> words = torch.LongTensor([[vocab.to_index(word) for word in "The whether is good .".split()]]) |
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