['sentence-transformers', 'safetensors', 'bert', 'feature-extraction', 'sentence-similarity', 'mteb', 'COVID-19', 'pandemic', 'healthcare', 'virus', 'public health', 'en', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']