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refactor sentence transformer to fastembedding #38

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refactor sentence transformer to fastembedding #38

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6 changes: 3 additions & 3 deletions bbconf/bbconf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@
# os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" # to suppress verbose warnings tensorflow
from geniml.text2bednn import text2bednn
from geniml.search import QdrantBackend
from sentence_transformers import SentenceTransformer
from fastembed.embedding import FlagEmbedding
from geniml.region2vec import Region2VecExModel
from geniml.io import RegionSet

Expand Down Expand Up @@ -510,8 +510,8 @@ def _create_t2bsi_object(self) -> Union[text2bednn.Text2BEDSearchInterface, None

try:
return text2bednn.Text2BEDSearchInterface(
nl2vec_model=SentenceTransformer(
os.getenv("HF_MODEL", DEFAULT_HF_MODEL)
nl2vec_model=FlagEmbedding(
model_name=os.getenv("HF_MODEL", DEFAULT_HF_MODEL)
),
vec2vec_model=self._config[CFG_PATH_KEY][CFG_PATH_VEC2VEC_KEY],
search_backend=self.qdrant_backend,
Expand Down
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