The output data of one embedding output of a request.
Parameters
embedding- The embedding vector, which is a list of floats. Its length depends on the hidden dimension of the model.
Summary
Functions
Python method EmbeddingOutput.from_base.
Initialize self. See help(type(self)) for accurate signature.
Types
Functions
@spec from_base(SnakeBridge.Ref.t(), Vllm.Outputs.PoolingOutput.t(), keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
Python method EmbeddingOutput.from_base.
Parameters
pooling_output(Vllm.Outputs.PoolingOutput.t())
Returns
term()
@spec new( [float()], keyword() ) :: {:ok, SnakeBridge.Ref.t()} | {:error, Snakepit.Error.t()}
Initialize self. See help(type(self)) for accurate signature.
Parameters
embedding(list(float()))