embedding_dimension = model.get_embedding_dimension()
vector_norms = np.linalg.norm(embeddings, axis=1)

assert embeddings.shape == (len(texts), embedding_dimension)
assert embeddings.dtype == np.float32
assert np.isfinite(embeddings).all()
assert (vector_norms > 0).all()

print(f"model: {model_id}")
print(f"input texts: {len(texts)}")
print(f"embedding shape: {embeddings.shape}")
print(f"embedding dtype: {embeddings.dtype}")
print(f"finite values: {np.isfinite(embeddings).all()}")
print(f"minimum vector norm: {vector_norms.min():.6f}")