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Not really an issue, but I haven't found any documentation on how to access the hidden state in LSTM RNN.
Context: I want to capture the semantic meaning of a sentence, by feeding in the Glove word e…
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Thank you for sharing this great repository!
Can you share me the reason why you consider article body as a long sequence instead of sentences. If I want to encode each sentence then use sentences r…
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**Describe the mistake**
I struggled a bit with understanding this sentence, which I think is grammatically incorrect.
"*Only in two dimensions vector rotations are commutative,*"
**Location**
…
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Hi Team,
Kudos for this project. Tried a few open source ones and this honestly is faster and provides reasonable results.
I skimmed through all the open and closed issues and found that people are …
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![untitled](https://user-images.githubusercontent.com/46139490/55043850-6376b900-500e-11e9-8d6e-3504e15fe7bb.PNG)
See attachment. So I tried word2vec. I enter 'swim' and it returns me a list of rel…
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I have pretrained XLNET model in Georgian lagnuage. Training has generated this files:
![image](https://user-images.githubusercontent.com/39549813/60965506-130a3980-a327-11e9-9194-4a5d7aae7d67.png).…
Bagdu updated
5 years ago
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while converting tokens to vector for complete sentence in preprocess_and_vectorize method ,got error "'Word2VecKeyedVectors' object has no attribute 'get_mean_vector'"
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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Hi,
Can you please tell me, how can I extract a single feature vector given a sentence in textual form or a list of word2vec vectors.
Thanks
gkv91 updated
5 years ago
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Please provide an example showing how to transform sentence (string) training data to vectors using a pre-populated `word2vec` object. Edourado mentioned we should be able to use an embedded layer to …