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bentrevett / pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
MIT License
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module 'torchtext' has no attribute 'vocab' #207

Open WhaSukGO opened 1 month ago

WhaSukGO commented 1 month ago 
# AttributeError: module 'torchtext' has no attribute 'vocab'
en_vocab = torchtext.vocab.build_vocab_from_iterator(
    train_data["en_tokens"],
    min_freq=min_freq,
    specials=special_tokens,
)

de_vocab = torchtext.vocab.build_vocab_from_iterator(
    train_data["de_tokens"],
    min_freq=min_freq,
    specials=special_tokens,
)
# Working
from torchtext.vocab import build_vocab_from_iterator

en_vocab = build_vocab_from_iterator(
    train_data["en_tokens"],
    min_freq=min_freq,
    specials=special_tokens,
)

de_vocab = build_vocab_from_iterator(
    train_data["de_tokens"],
    min_freq=min_freq,
    specials=special_tokens,
)