This directory contains a script that showcases how to use text embedding models as feature extractors for text embeddings on HPUs.
PT_HPU_LAZY_MODE=1 python run_feature_extraction.py \
--model_name_or_path Supabase/gte-small \
--source_sentence "What is a deep learning architecture for feature extraction?" \
--input_texts "There are many different variants of apples created every year." \
"BERT is a common machine learning architecture for text-based applications." \
"Alexander Hamilton is one of the founding fathers of the United States." \
--use_hpu_graphs \
--sdp_on_bf16 \
--bf16