rust_bert::pipelines::sequence_classification

Enum SequenceClassificationOption

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pub enum SequenceClassificationOption {

Show 13 variants    Bert(BertForSequenceClassification),
    Deberta(DebertaForSequenceClassification),
    DebertaV2(DebertaV2ForSequenceClassification),
    DistilBert(DistilBertModelClassifier),
    MobileBert(MobileBertForSequenceClassification),
    Roberta(RobertaForSequenceClassification),
    XLMRoberta(RobertaForSequenceClassification),
    Albert(AlbertForSequenceClassification),
    XLNet(XLNetForSequenceClassification),
    Bart(BartForSequenceClassification),
    Reformer(ReformerForSequenceClassification),
    Longformer(LongformerForSequenceClassification),
    FNet(FNetForSequenceClassification),

}
Expand description

§Abstraction that holds one particular sequence classification model, for any of the supported models

Variants§

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Bert(BertForSequenceClassification)

Bert for Sequence Classification

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Deberta(DebertaForSequenceClassification)

DeBERTa for Sequence Classification

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DebertaV2(DebertaV2ForSequenceClassification)

DeBERTa V2 for Sequence Classification

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DistilBert(DistilBertModelClassifier)

DistilBert for Sequence Classification

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MobileBert(MobileBertForSequenceClassification)

MobileBert for Sequence Classification

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Roberta(RobertaForSequenceClassification)

Roberta for Sequence Classification

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XLMRoberta(RobertaForSequenceClassification)

XLMRoberta for Sequence Classification

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Albert(AlbertForSequenceClassification)

Albert for Sequence Classification

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XLNet(XLNetForSequenceClassification)

XLNet for Sequence Classification

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Bart(BartForSequenceClassification)

Bart for Sequence Classification

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Reformer(ReformerForSequenceClassification)

Reformer for Sequence Classification

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Longformer(LongformerForSequenceClassification)

Longformer for Sequence Classification

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FNet(FNetForSequenceClassification)

FNet for Sequence Classification

Implementations§

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impl SequenceClassificationOption

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pub fn new(config: &SequenceClassificationConfig) -> Result<Self, RustBertError>

Instantiate a new sequence classification model of the supplied type.

§Arguments
  • SequenceClassificationConfig - Sequence classification pipeline configuration. The type of model created will be inferred from the ModelResources (Torch or ONNX) and ModelType (Architecture for Torch models) variants provided and
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pub fn model_type(&self) -> ModelType

Returns the ModelType for this SequenceClassificationOption

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pub fn forward_t( &self, input_ids: Option<&Tensor>, mask: Option<&Tensor>, token_type_ids: Option<&Tensor>, position_ids: Option<&Tensor>, input_embeds: Option<&Tensor>, train: bool, ) -> Tensor

Interface method to forward_t() of the particular models.

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