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I want to know which word2vec model you use in the NUS_WIDE ZSL classification setting. I try to extract word representation by myself, and I use 'glove-wiki-gigaword-300.model' model. But I meet so…
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When I try to run the Word2Vec GUI, it gives me a FATAL ERROR message telling me to pip install Plotly. However, when I try to do that, Terminal tells me that Plotly is already installed. Even whe…
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小白求助,我想直接使用word2vec_skipgram里边的词向量,但是里面有些业务名词没有,看介绍上说word2vec_skipgram是可以进行Fine-tune的,那么我可以使用自己的语料进行增量训练吗?如果可以的话,我该怎么做,没找到帮助文档,还请各位大佬帮忙!
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[Target Encoding](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/target-encoding.html)
[TF-IDF](https://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/tf-idf.html)
[Word2Vec](https…
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- https://huggingface.co/keras-io/bert-semantic-similarity
- https://huggingface.co/facebook/fasttext-en-vectors
Embeddings:
- https://huggingface.co/abokbot/wikipedia-embedding
- https://huggin…
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http://localhost:4000/deep-learning-word2vec/
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line 87 n2v_main.py:
model = Word2Vec(walks, size=args.dimensions, window=args.window_size, min_count=0, sg=1, workers=args.workers, iter=args.iter)
The "size" argument needs to be changed to "v…