Evaluates the model for a sequence of tokens using `eval_sequence`, splitting a potentially long sequence into fixed-length chunks. This function is useful for processing complete prompts and user input in chat & role-playing use-cases. It is recommended to use this function
(
self,
tokens: List[int],
state_in: Optional[NumpyArrayOrPyTorchTensor],
state_out: Optional[NumpyArrayOrPyTorchTensor] = None,
logits_out: Optional[NumpyArrayOrPyTorchTensor] = None,
chunk_size: int = 16,
use_numpy: bool = False
)
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