

You can access each attribute as you would usually do, and if that attribute has not been returned by the model, you
will get None. Here for instance outputs.loss is the loss computed by the model, and outputs.attentions is
None.
When considering our outputs object as tuple, it only considers the attributes that don't have None values.
Here for instance, it has two elements, loss then logits, so
python
outputs[:2]
will return the tuple (outputs.loss, outputs.logits) for instance.
When considering our outputs object as dictionary, it only considers the attributes that don't have None
values. Here for instance, it has two keys that are loss and logits.
We document here the generic model outputs that are used by more than one model type. Specific output types are
documented on their corresponding model page.
ModelOutput
[[autodoc]] utils.ModelOutput
    - to_tuple
BaseModelOutput
[[autodoc]] modeling_outputs.BaseModelOutput
BaseModelOutputWithPooling
[[autodoc]] modeling_outputs.BaseModelOutputWithPooling
BaseModelOutputWithCrossAttentions
[[autodoc]] modeling_outputs.BaseModelOutputWithCrossAttentions
BaseModelOutputWithPoolingAndCrossAttentions
[[autodoc]] modeling_outputs.BaseModelOutputWithPoolingAndCrossAttentions
BaseModelOutputWithPast
[[autodoc]] modeling_outputs.BaseModelOutputWithPast
BaseModelOutputWithPastAndCrossAttentions
[[autodoc]] modeling_outputs.BaseModelOutputWithPastAndCrossAttentions
Seq2SeqModelOutput
[[autodoc]] modeling_outputs.Seq2SeqModelOutput
CausalLMOutput
[[autodoc]] modeling_outputs.CausalLMOutput
CausalLMOutputWithCrossAttentions
[[autodoc]] modeling_outputs.CausalLMOutputWithCrossAttentions
CausalLMOutputWithPast
[[autodoc]] modeling_outputs.CausalLMOutputWithPast
MaskedLMOutput
[[autodoc]] modeling_outputs.MaskedLMOutput
Seq2SeqLMOutput
[[autodoc]] modeling_outputs.Seq2SeqLMOutput
NextSentencePredictorOutput
[[autodoc]] modeling_outputs.NextSentencePredictorOutput
SequenceClassifierOutput
[[autodoc]] modeling_outputs.SequenceClassifierOutput
Seq2SeqSequenceClassifierOutput
[[autodoc]] modeling_outputs.Seq2SeqSequenceClassifierOutput
MultipleChoiceModelOutput
[[autodoc]] modeling_outputs.MultipleChoiceModelOutput
TokenClassifierOutput
[[autodoc]] modeling_outputs.TokenClassifierOutput
QuestionAnsweringModelOutput
[[autodoc]] modeling_outputs.QuestionAnsweringModelOutput
Seq2SeqQuestionAnsweringModelOutput
[[autodoc]] modeling_outputs.Seq2SeqQuestionAnsweringModelOutput
Seq2SeqSpectrogramOutput
[[autodoc]] modeling_outputs.Seq2SeqSpectrogramOutput
SemanticSegmenterOutput
[[autodoc]] modeling_outputs.SemanticSegmenterOutput
ImageClassifierOutput
[[autodoc]] modeling_outputs.ImageClassifierOutput
ImageClassifierOutputWithNoAttention
[[autodoc]] modeling_outputs.ImageClassifierOutputWithNoAttention
DepthEstimatorOutput
[[autodoc]] modeling_outputs.DepthEstimatorOutput
Wav2Vec2BaseModelOutput
[[autodoc]] modeling_outputs.Wav2Vec2BaseModelOutput
XVectorOutput
[[autodoc]] modeling_outputs.XVectorOutput
Seq2SeqTSModelOutput
[[autodoc]] modeling_outputs.Seq2SeqTSModelOutput
Seq2SeqTSPredictionOutput
[[autodoc]] modeling_outputs.Seq2SeqTSPredictionOutput
SampleTSPredictionOutput
[[autodoc]] modeling_outputs.SampleTSPredictionOutput
TFBaseModelOutput
[[autodoc]] modeling_tf_outputs.TFBaseModelOutput
TFBaseModelOutputWithPooling
[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPooling
TFBaseModelOutputWithPoolingAndCrossAttentions
[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPoolingAndCrossAttentions
TFBaseModelOutputWithPast
[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPast
TFBaseModelOutputWithPastAndCrossAttentions
[[autodoc]] modeling_tf_outputs.TFBaseModelOutputWithPastAndCrossAttentions
TFSeq2SeqModelOutput
[[autodoc]] modeling_tf_outputs.TFSeq2SeqModelOutput
TFCausalLMOutput
[[autodoc]] modeling_tf_outputs.TFCausalLMOutput
TFCausalLMOutputWithCrossAttentions
[[autodoc]] modeling_tf_outputs.TFCausalLMOutputWithCrossAttentions
TFCausalLMOutputWithPast
[[autodoc]] modeling_tf_outputs.TFCausalLMOutputWithPast
TFMaskedLMOutput
[[autodoc]] modeling_tf_outputs.TFMaskedLMOutput
TFSeq2SeqLMOutput
[[autodoc]] modeling_tf_outputs.TFSeq2SeqLMOutput
TFNextSentencePredictorOutput
[[autodoc]] modeling_tf_outputs.TFNextSentencePredictorOutput
TFSequenceClassifierOutput
[[autodoc]] modeling_tf_outputs.TFSequenceClassifierOutput
TFSeq2SeqSequenceClassifierOutput
[[autodoc]] modeling_tf_outputs.TFSeq2SeqSequenceClassifierOutput
TFMultipleChoiceModelOutput
[[autodoc]] modeling_tf_outputs.TFMultipleChoiceModelOutput
TFTokenClassifierOutput
[[autodoc]] modeling_tf_outputs.TFTokenClassifierOutput
TFQuestionAnsweringModelOutput
[[autodoc]] modeling_tf_outputs.TFQuestionAnsweringModelOutput
TFSeq2SeqQuestionAnsweringModelOutput
[[autodoc]] modeling_tf_outputs.TFSeq2SeqQuestionAnsweringModelOutput
FlaxBaseModelOutput
[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutput
FlaxBaseModelOutputWithPast
[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPast
FlaxBaseModelOutputWithPooling
[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPooling
FlaxBaseModelOutputWithPastAndCrossAttentions
[[autodoc]] modeling_flax_outputs.FlaxBaseModelOutputWithPastAndCrossAttentions
FlaxSeq2SeqModelOutput
[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqModelOutput
FlaxCausalLMOutputWithCrossAttentions
[[autodoc]] modeling_flax_outputs.FlaxCausalLMOutputWithCrossAttentions
FlaxMaskedLMOutput
[[autodoc]] modeling_flax_outputs.FlaxMaskedLMOutput
FlaxSeq2SeqLMOutput
[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqLMOutput
FlaxNextSentencePredictorOutput
[[autodoc]] modeling_flax_outputs.FlaxNextSentencePredictorOutput
FlaxSequenceClassifierOutput
[[autodoc]] modeling_flax_outputs.FlaxSequenceClassifierOutput
FlaxSeq2SeqSequenceClassifierOutput
[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqSequenceClassifierOutput
FlaxMultipleChoiceModelOutput
[[autodoc]] modeling_flax_outputs.FlaxMultipleChoiceModelOutput
FlaxTokenClassifierOutput
[[autodoc]] modeling_flax_outputs.FlaxTokenClassifierOutput
FlaxQuestionAnsweringModelOutput
[[autodoc]] modeling_flax_outputs.FlaxQuestionAnsweringModelOutput
FlaxSeq2SeqQuestionAnsweringModelOutput
[[autodoc]] modeling_flax_outputs.FlaxSeq2SeqQuestionAnsweringModelOutput