core.dispatcher.test.lanGauge_beam_base

Functions

run(modelName, source, sink[, beam_options])

Classes

AutoModelForTokenClassification()

This is a generic model class that will be instantiated as one of the model classes of the library—with a token classification head—when created with the from_pretrained() class method or the from_config() class method.

AutoTokenizer()

This is a generic tokenizer class that will be instantiated as one of the tokenizer classes of the library when created with the AutoTokenizer.from_pretrained() class method.

PipelineOptions(flags, **kwargs)

This class and subclasses are used as containers for command line options.

Predict(modelName)

SetupOptions(flags, **kwargs)

Initialize an options class.

Tokenize(modelName)

core.dispatcher.test core.queue