/plushcap/analysis/weaviate/weaviate-weaviate-1-2-transformer-models

Weaviate 1.2 release - transformer models

What's this blog post about?

Weaviate v1.2 introduces transformers (DistilBERT, BERT, RoBERTa, Sentence-BERT, etc) for vectorizing and semantically searching through data. Transformers are deep learning models used in NLP tasks. With the text module selected in the Weaviate configuration tool, users can run Weaviate with transformers in one command. Custom transformer models compatible with Hugging Face's AutoModel and AutoTokenizer can also be utilized. Weaviate now allows for sub-50ms results by using transformers on your own data.

Company
Weaviate

Date published
March 30, 2021

Author(s)
Etienne Dilocker

Word count
258

Language
English

Hacker News points
None found.


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