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I wonder if somebody use a word2vec model with ofxTensorflow2?
I found a model and tried to use it, but without success: https://tfhub.dev/google/Wiki-words-250-with-normalization/2
For now I use of…
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## Introduction
The Chrome local API with Gemini Nano support opens the door to doing Retrieval Augmented Generation completely client side in the browser. However, to achieve that goal completely…
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The testing for the universal sentence encoder takes up too much memory, so fails due to being 'killed' on circleci. So, since it passes locally in the same virtualenv setup as circleci, it has been c…
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### Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
### OS Platform and Distribution
Android 13
### MediaPipe Tasks SDK version
com.google.media…
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See
https://towardsdatascience.com/use-cases-of-googles-universal-sentence-encoder-in-production-dd5aaab4fc15
https://www.learnopencv.com/universal-sentence-encoder/
For #259 , #634
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### Describe the problem
Built in support for Google's Universal Sentence Encoder (USE) which can useful for greater-than-word length text, such as sentences, phrases or short paragraphs.
[USE Pap…
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Hi. I'm using Top2Vec for a project and this is how I have configured the model:
```
model = Top2Vec(documents = texts_unified,
min_count=10,
topic_merge_delta…
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#### Issue Description
Google published [pretrainend sentence2vec models for tensorflow](https://tfhub.dev/google/universal-sentence-encoder/2). It would be a nice addition to dl4j, if it supported…
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Planned but still quite a few models missing; would be great to have them all! (e.g. only 42 models for MTEB classic vs 337 in the current leaderboard)
@x-tabdeveloping and I am currently worki…