Open yapingzhao opened 6 years ago
set this option --embed_prefix to use your embedding file
thank you very much!
@Lapis-Hong Hi, I want to use the --embed_prefix option to use my own trained word vector (word2vec). But,An error occurred while I was running the command python -m nmt.nmt --src=vi --tgt=en --num_units=300 --embed_prefix=nmt/nmt_data/vector error: FailedPreconditionError (see above for traceback): HashTable has different value for same key. Key ᠤ has 23 and trying to add value 1518 [[Node: string_to_index/hash_table/table_init = InitializeTableFromTextFileV2[delimiter="\t", key_index=-2, value_index=-1, vocab_size=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](string_to_index/hash_table, string_to_index/hash_table/table_init/asset_filepath)]]
If you have any suggestions, please give me some suggestions, thank you very much!
Hi, 1.How to use the pretrained word representations (word2vec) to initialize the embedding weights? 2.The embedding principle in nmt/tensorflow is CBOW or skip-gram? Looking forward to your advice or answers. If you have any suggestions, please give me some suggestions, thank you very much! Best regards, Thank you.