Generate: add missing logits processors docs (#25653)
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@@ -75,39 +75,104 @@ values. Here, for instance, it has two keys that are `sequences` and `scores`.
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We document here all output types.
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### GreedySearchOutput
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[[autodoc]] generation.GreedySearchDecoderOnlyOutput
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### PyTorch
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[[autodoc]] generation.GreedySearchEncoderDecoderOutput
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[[autodoc]] generation.FlaxGreedySearchOutput
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### SampleOutput
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[[autodoc]] generation.SampleDecoderOnlyOutput
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[[autodoc]] generation.GreedySearchDecoderOnlyOutput
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[[autodoc]] generation.SampleEncoderDecoderOutput
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[[autodoc]] generation.FlaxSampleOutput
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### BeamSearchOutput
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[[autodoc]] generation.BeamSearchDecoderOnlyOutput
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[[autodoc]] generation.SampleDecoderOnlyOutput
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[[autodoc]] generation.BeamSearchEncoderDecoderOutput
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### BeamSampleOutput
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[[autodoc]] generation.BeamSearchDecoderOnlyOutput
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[[autodoc]] generation.BeamSampleEncoderDecoderOutput
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[[autodoc]] generation.BeamSampleDecoderOnlyOutput
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[[autodoc]] generation.BeamSampleEncoderDecoderOutput
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[[autodoc]] generation.ContrastiveSearchEncoderDecoderOutput
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[[autodoc]] generation.ContrastiveSearchDecoderOnlyOutput
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### TensorFlow
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[[autodoc]] generation.TFGreedySearchEncoderDecoderOutput
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[[autodoc]] generation.TFGreedySearchDecoderOnlyOutput
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[[autodoc]] generation.TFSampleEncoderDecoderOutput
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[[autodoc]] generation.TFSampleDecoderOnlyOutput
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[[autodoc]] generation.TFBeamSearchEncoderDecoderOutput
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[[autodoc]] generation.TFBeamSearchDecoderOnlyOutput
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[[autodoc]] generation.TFBeamSampleEncoderDecoderOutput
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[[autodoc]] generation.TFBeamSampleDecoderOnlyOutput
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[[autodoc]] generation.TFContrastiveSearchEncoderDecoderOutput
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[[autodoc]] generation.TFContrastiveSearchDecoderOnlyOutput
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### FLAX
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[[autodoc]] generation.FlaxSampleOutput
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[[autodoc]] generation.FlaxGreedySearchOutput
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[[autodoc]] generation.FlaxBeamSearchOutput
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## LogitsProcessor
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A [`LogitsProcessor`] can be used to modify the prediction scores of a language model head for
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generation.
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### PyTorch
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[[autodoc]] AlternatingCodebooksLogitsProcessor
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- __call__
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[[autodoc]] ClassifierFreeGuidanceLogitsProcessor
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- __call__
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[[autodoc]] EncoderNoRepeatNGramLogitsProcessor
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- __call__
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[[autodoc]] EncoderRepetitionPenaltyLogitsProcessor
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- __call__
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[[autodoc]] EpsilonLogitsWarper
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- __call__
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[[autodoc]] EtaLogitsWarper
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- __call__
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[[autodoc]] ExponentialDecayLengthPenalty
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- __call__
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[[autodoc]] ForcedBOSTokenLogitsProcessor
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- __call__
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[[autodoc]] ForcedEOSTokenLogitsProcessor
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- __call__
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[[autodoc]] ForceTokensLogitsProcessor
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- __call__
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[[autodoc]] HammingDiversityLogitsProcessor
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- __call__
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[[autodoc]] InfNanRemoveLogitsProcessor
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- __call__
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[[autodoc]] LogitNormalization
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- __call__
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[[autodoc]] LogitsProcessor
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- __call__
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@@ -123,43 +188,54 @@ generation.
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[[autodoc]] MinNewTokensLengthLogitsProcessor
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- __call__
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[[autodoc]] TemperatureLogitsWarper
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- __call__
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[[autodoc]] RepetitionPenaltyLogitsProcessor
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- __call__
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[[autodoc]] TopPLogitsWarper
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- __call__
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[[autodoc]] TopKLogitsWarper
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- __call__
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[[autodoc]] TypicalLogitsWarper
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[[autodoc]] NoBadWordsLogitsProcessor
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- __call__
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[[autodoc]] NoRepeatNGramLogitsProcessor
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- __call__
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[[autodoc]] SequenceBiasLogitsProcessor
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- __call__
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[[autodoc]] NoBadWordsLogitsProcessor
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- __call__
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[[autodoc]] PrefixConstrainedLogitsProcessor
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- __call__
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[[autodoc]] HammingDiversityLogitsProcessor
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[[autodoc]] RepetitionPenaltyLogitsProcessor
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- __call__
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[[autodoc]] ForcedBOSTokenLogitsProcessor
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[[autodoc]] SequenceBiasLogitsProcessor
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- __call__
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[[autodoc]] ForcedEOSTokenLogitsProcessor
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[[autodoc]] SuppressTokensAtBeginLogitsProcessor
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- __call__
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[[autodoc]] InfNanRemoveLogitsProcessor
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[[autodoc]] SuppressTokensLogitsProcessor
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- __call__
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[[autodoc]] TemperatureLogitsWarper
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- __call__
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[[autodoc]] TopKLogitsWarper
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- __call__
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[[autodoc]] TopPLogitsWarper
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- __call__
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[[autodoc]] TypicalLogitsWarper
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- __call__
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[[autodoc]] UnbatchedClassifierFreeGuidanceLogitsProcessor
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- __call__
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[[autodoc]] WhisperTimeStampLogitsProcessor
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- __call__
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### TensorFlow
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[[autodoc]] TFForcedBOSTokenLogitsProcessor
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- __call__
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[[autodoc]] TFForcedEOSTokenLogitsProcessor
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- __call__
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[[autodoc]] TFForceTokensLogitsProcessor
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- __call__
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[[autodoc]] TFLogitsProcessor
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@@ -171,15 +247,6 @@ generation.
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[[autodoc]] TFLogitsWarper
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- __call__
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[[autodoc]] TFTemperatureLogitsWarper
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- __call__
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[[autodoc]] TFTopPLogitsWarper
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- __call__
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[[autodoc]] TFTopKLogitsWarper
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- __call__
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[[autodoc]] TFMinLengthLogitsProcessor
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- __call__
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@@ -192,10 +259,30 @@ generation.
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[[autodoc]] TFRepetitionPenaltyLogitsProcessor
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- __call__
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[[autodoc]] TFForcedBOSTokenLogitsProcessor
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[[autodoc]] TFSuppressTokensAtBeginLogitsProcessor
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- __call__
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[[autodoc]] TFForcedEOSTokenLogitsProcessor
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[[autodoc]] TFSuppressTokensLogitsProcessor
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- __call__
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[[autodoc]] TFTemperatureLogitsWarper
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- __call__
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[[autodoc]] TFTopKLogitsWarper
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- __call__
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[[autodoc]] TFTopPLogitsWarper
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- __call__
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### FLAX
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[[autodoc]] FlaxForcedBOSTokenLogitsProcessor
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- __call__
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[[autodoc]] FlaxForcedEOSTokenLogitsProcessor
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- __call__
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[[autodoc]] FlaxForceTokensLogitsProcessor
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- __call__
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[[autodoc]] FlaxLogitsProcessor
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@@ -207,27 +294,30 @@ generation.
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[[autodoc]] FlaxLogitsWarper
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- __call__
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[[autodoc]] FlaxTemperatureLogitsWarper
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[[autodoc]] FlaxMinLengthLogitsProcessor
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- __call__
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[[autodoc]] FlaxTopPLogitsWarper
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[[autodoc]] FlaxSuppressTokensAtBeginLogitsProcessor
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- __call__
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[[autodoc]] FlaxSuppressTokensLogitsProcessor
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- __call__
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[[autodoc]] FlaxTemperatureLogitsWarper
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- __call__
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[[autodoc]] FlaxTopKLogitsWarper
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- __call__
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[[autodoc]] FlaxForcedBOSTokenLogitsProcessor
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[[autodoc]] FlaxTopPLogitsWarper
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- __call__
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[[autodoc]] FlaxForcedEOSTokenLogitsProcessor
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- __call__
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[[autodoc]] FlaxMinLengthLogitsProcessor
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[[autodoc]] FlaxWhisperTimeStampLogitsProcessor
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- __call__
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## StoppingCriteria
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A [`StoppingCriteria`] can be used to change when to stop generation (other than EOS token).
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A [`StoppingCriteria`] can be used to change when to stop generation (other than EOS token). Please note that this is exclusivelly available to our PyTorch implementations.
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[[autodoc]] StoppingCriteria
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- __call__
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@@ -243,7 +333,7 @@ A [`StoppingCriteria`] can be used to change when to stop generation (other than
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## Constraints
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A [`Constraint`] can be used to force the generation to include specific tokens or sequences in the output.
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A [`Constraint`] can be used to force the generation to include specific tokens or sequences in the output. Please note that this is exclusivelly available to our PyTorch implementations.
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[[autodoc]] Constraint
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