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Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

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When I try the listed example for get image vectors from CLIP: ``` from vectorhub.bi_encoders.text_image.torch import Clip2Vec model = Clip2Vec() model.encode_image('https://getvectorai.com/assets/hub-logo-with-text.png') ``` I get the following trace: ``` /home/is2961/anaconda3/lib/python3.9/site-packages/vectorhub/base.py:62: UserWarning:...

is the soundfile correctly imported just curious I was trying the wav2vec, got this ? Tried importing/uninstall and install but not fruitful! Any help will be appreciated

Thanks for your very useful and handy project! https://github.com/Synerise/cleora is a very fast and responsible project written in Rust? Can you leverage the power of this project in your library...

Include examples in vectorhub of how to utilise GPUs and how to run encode in parallel.

Set a global environment variable for all Vectorhub models and change reloading into the vectorhub model where possible.

enhancement

Include a new VLBERT model, combining image and text into the same vector space. https://github.com/jackroos/VL-BERT

enhancement

Congratulations and thank you for this amazing initiative! How about adding `cat2vec`, for categorical, tabular data, and `node2vec`, for network graphs? Best wishes, Milcent

enhancement