Weaviate 1.2 release - transformer models

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.