pub enum TokenClassificationOption {
    Bert(BertForTokenClassification),
    Deberta(DebertaForTokenClassification),
    DebertaV2(DebertaV2ForTokenClassification),
    DistilBert(DistilBertForTokenClassification),
    MobileBert(MobileBertForTokenClassification),
    Roberta(RobertaForTokenClassification),
    XLMRoberta(RobertaForTokenClassification),
    Electra(ElectraForTokenClassification),
    Albert(AlbertForTokenClassification),
    XLNet(XLNetForTokenClassification),
    Longformer(LongformerForTokenClassification),
    FNet(FNetForTokenClassification),
}
Expand description

Variants§

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Bert(BertForTokenClassification)

Bert for Token Classification

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Deberta(DebertaForTokenClassification)

DeBERTa for Token Classification

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DebertaV2(DebertaV2ForTokenClassification)

DeBERTa V2 for Token Classification

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DistilBert(DistilBertForTokenClassification)

DistilBert for Token Classification

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MobileBert(MobileBertForTokenClassification)

MobileBert for Token Classification

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Roberta(RobertaForTokenClassification)

Roberta for Token Classification

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XLMRoberta(RobertaForTokenClassification)

XLM Roberta for Token Classification

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Electra(ElectraForTokenClassification)

Electra for Token Classification

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Albert(AlbertForTokenClassification)

Albert for Token Classification

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XLNet(XLNetForTokenClassification)

XLNet for Token Classification

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Longformer(LongformerForTokenClassification)

Longformer for Token Classification

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FNet(FNetForTokenClassification)

FNet for Token Classification

Implementations§

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impl TokenClassificationOption

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

Instantiate a new sequence classification model of the supplied type.

Arguments
  • TokenClassificationConfig - Token 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 TokenClassificationOption

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