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Marqo
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Train and Deploy Embedding Models
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Ellie Sleightholm
Marqo Ecommerce Embedding Models ā€” Improve Your Onsite Product Search by 31%
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We have launched two foundation models for ecommerce that deliver much higher performance for product search and recommendations. These models outperform those from Amazon, Google, and Cohere, as well as the leading open source models.
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Ellie Sleightholm
Maker
šŸ“Œ
If you want to start working with these models, we have some usecase blogs you can try out! šŸ”Ž Ecommerce Search šŸ”Ž Blog: https://www.marqo.ai/blog/how-to... Google Colab: https://colab.research.google.co... šŸ¤— Ecommerce Classification šŸ¤— Blog: https://www.marqo.ai/blog/ecomme... Google Colab: https://colab.research.google.co... If you have any questions or feedback, join our community: https://join.slack.com/t/marqo-c...
Katie
Where can I find and use these models? I'm looking to build a search app. Any help appreciated, thanks!
Al Sargent
@katie9724014 Thanks for your interest! The best way to build a search app is to follow this step-by-step guide: https://www.marqo.ai/blog/how-to... One the key things about Marqo is that it streamlines a lot of the tasks around building AI apps. So you don't need to manually download the model; the model gets automatically loaded via these lines of code: "model": "Marqo/marqo-ecommerce-embeddings-B", # Specifies the embedding model for e-commerce. "modelProperties": { "name": "hf-hub:Marqo/marqo-ecommerce-embeddings-B", # Model name on Hugging Face Hub. (This is from the above tutorial.) That said, if you do want to look at the models on Hugging Face, you can find them here: https://huggingface.co/Marqo/mar... https://huggingface.co/Marqo/mar... Hope that helps, and let us know if you have any other questions!