import os

from sentence_transformers import SentenceTransformer


repo_id = "acme-search/support-embeddings"

model = SentenceTransformer(repo_id, token=os.environ["HF_TOKEN"])
embeddings = model.encode(
    ["reset password", "change billing address"],
    show_progress_bar=False,
)

print(f"repo: {repo_id}")
print(f"embedding shape: {embeddings.shape}")