mp.tasks.text.TextEmbedderOptions

Options for the text embedder task.

mp.tasks.text.TextEmbedderOptions(
    base_options: mp.tasks.BaseOptions,
    l2_normalize: Optional[bool] = None,
    quantize: Optional[bool] = None
)

Attributes
base_options	Base options for the text embedder task.
l2_normalize	Whether to normalize the returned feature vector with L2 norm. Use this option only if the model does not already contain a native L2_NORMALIZATION TF Lite Op. In most cases, this is already the case and L2 norm is thus achieved through TF Lite inference.
quantize	Whether the returned embedding should be quantized to bytes via scalar quantization. Embeddings are implicitly assumed to be unit-norm and therefore any dimension is guaranteed to have a value in [-1.0, 1.0]. Use the l2_normalize option if this is not the case.

Methods

__eq__

__eq__(
    other
)

Class Variables
l2_normalize	None
quantize	None