Vector Embeddings, Quantization, Vector Quantization.
255.0 zero_points = -min_vals / scaling_factors # Quantize the embeddings quantized_embeddings = np.round((input_vector - min_vals) / scaling_factors).astype(quantization_type) return quantized_embeddings.tolist() def binary_quantization(input_vector: List[float]) -> List[int]: # Convert embeddings