GreedySampler
GreedySampler class
keras_nlp.samplers.GreedySampler(**kwargs)
Greedy sampler class.
This sampler is implemented on greedy search, i.e., always picking up the token of the largest probability as the next token.
Examples
causal_lm = keras_nlp.models.GPT2CausalLM.from_preset("gpt2_base_en")
# Pass by name to compile.
causal_lm.compile(sampler="greedy")
causal_lm.generate(["Keras is a"])
# Pass by object to compile.
sampler = keras_nlp.samplers.GreedySampler()
causal_lm.compile(sampler=sampler)
causal_lm.generate(["Keras is a"])