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Hi,
following the commands, I pre-trained electra-small on my dataset. After pre-training I want the learned embeddings which I need to use on some other complicated downstream tasks. Could you pleas…
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Hi,
as I understand, the option -pretrainedVectors allows ones to init the weights with some pretrained embeddings stored in a .vec file, with a vector for each word.
How can we init the subword…
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I have such phrases in my negative field:
`low quality, low resolution`
so the word "low" is presented twice there.
is there a difference if i convert them to inline embeddings like these:
`, `
…
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reddit word embeddings: https://arxiv.org/pdf/2008.02754.pdf
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在finetune.sh中增加以下参数，但是并没有从保存的最后一个checkpoint继续训练，请问怎么实现finetune中的继续训练呢？
--resume_from_checkpoint True \
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**Describe the bug**
I am using ETM for topic modelling for a dataset of 50K documents. I am running the model multiple times (with random seed values) to find the appropriate value of K for my data.…
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This is a bit of an odd case but I was wondering if there is any means to take an embeddings.pt with multiple placeholders and merge or otherwise consolidate them into a single placeholder? The proble…
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Thanks for wapiti, great tool!
How hard would it be to make it possible to use real-valued features (as opposed to only binary features)? My use case is to exploit word embeddings and soft word class…
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Like pre-trained word embeddings, are there any pre-trained topic models available (now or in future) in gensim?
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您好，您有这种情况吗？FileNotFoundError: [Errno 2] No such file or directory: './data/embeddings/sgns.merge.word'