example
client.collections.create(
"DemoCollection",
vectorizer_config=[
Configure.NamedVectors.text2vec_huggingface(
name="title_vector",
source_properties=["title"],
# NOTE: Use only one of (`model`), (`passage_model` and `query_model`), or (`endpoint_url`)
#model="sentence-transformers/all-MiniLM-L6-v2",
# passage_model="sentence-transformers/facebook-dpr-ctx_encoder-single-nq-base", # Required if using `query_model`
# query_model="sentence-transformers/facebook-dpr-question_encoder-single-nq-base", # Required if using `passage_model`
endpoint_url="<custom_huggingface_url>",
#
# wait_for_model=True,
# use_cache=True,
# use_gpu=True,
)
],
)