RandomSampler
RandomSampler class
keras_nlp.samplers.RandomSampler(seed=None, **kwargs)
Random Sampler class.
This sampler implements random sampling. Briefly, random sampler randomly selects a token from the entire distribution of the tokens, with selection chance determined by the probability of each token.
Arguments
- seed: int. The random seed. Defaults to
None.
Call arguments
{{call_args}}
Examples
causal_lm = keras_nlp.models.GPT2CausalLM.from_preset("gpt2_base_en")
# Pass by name to compile.
causal_lm.compile(sampler="random")
causal_lm.generate(["Keras is a"])
# Pass by object to compile.
sampler = keras_nlp.samplers.RandomSampler(temperature=0.7)
causal_lm.compile(sampler=sampler)
causal_lm.generate(["Keras is a"])