prashantranjan09 / wordembeddings-elmo-fasttext-word2vec Goto Github PK

Hi,

I get the following error when I run the code. Any workaround for this?

2019-01-25 18:56:48.821520: W tensorflow/core/framework/allocator.cc:101] Allocation of 18454937600 exceeds 10% of system memory.
2019-01-25 18:56:48.821663: W tensorflow/core/framework/allocator.cc:101] Allocation of 1258291200 exceeds 10% of system memory.
Killed
.

I have already tried decreasing batch size but didn't help.

Hello, i tried to run your code with my dataset, i am able to word2vec/fasttext gensim with my dataset but unable to understand how u r handling word vectors for Elmo. in below screenshot.

how to change these values in below elmo function ( in my case x_text, y is a X Y form )
(train_x,train_y,test_x,test_y,max_len)

please advise how to change

Do we have to change anything other then dataset to train elmo embedding in urdu language corpus?is it neccessary to use GPU to train model and any preprocessing of data required before training ?

1

hello , i get below mentioned error when i tried to train model with W2V, Fastttext

please advise. thnx

Hi everyone,

I would like to use German align vectors to train a crosslingual classification model (https://fasttext.cc/docs/en/aligned-vectors.html). If I got it right, wiki.de.align.vec is the file I need? I tried to implement it using word2vec_format, but ran into a problem of out of vocabulary words.

I know that this problem has been solved by fasttext. It obtaines semantic similar word vectors by breaking words into ngrams and it sounds awesome. To load the fasttext model I need a .bin file, which is not provided for aligned vectors. Do you have any ideas of solving the problem?

Thank you!