Enum rust_bert::pipelines::zero_shot_classification::ZeroShotClassificationOption

pub enum ZeroShotClassificationOption {
    Bart(BartForSequenceClassification),
    Bert(BertForSequenceClassification),
    DistilBert(DistilBertModelClassifier),
    MobileBert(MobileBertForSequenceClassification),
    Roberta(RobertaForSequenceClassification),
    XLMRoberta(RobertaForSequenceClassification),
    Albert(AlbertForSequenceClassification),
    XLNet(XLNetForSequenceClassification),
    Longformer(LongformerForSequenceClassification),
}

Abstraction that holds one particular zero shot classification model, for any of the supported models

The models are using a classification architecture that should be trained on Natural Language Inference. The models should output a Tensor of size > 2 in the label dimension, with the first logit corresponding to contradiction and the last logit corresponding to entailment.

Variants

Bart(BartForSequenceClassification)

Tuple Fields

0: BartForSequenceClassification

Bart for Sequence Classification

Bert(BertForSequenceClassification)

Tuple Fields

0: BertForSequenceClassification

Bert for Sequence Classification

DistilBert(DistilBertModelClassifier)

Tuple Fields

0: DistilBertModelClassifier

DistilBert for Sequence Classification

MobileBert(MobileBertForSequenceClassification)

Tuple Fields

0: MobileBertForSequenceClassification

MobileBert for Sequence Classification

Roberta(RobertaForSequenceClassification)

Tuple Fields

0: RobertaForSequenceClassification

Roberta for Sequence Classification

XLMRoberta(RobertaForSequenceClassification)

Tuple Fields

0: RobertaForSequenceClassification

XLMRoberta for Sequence Classification

Albert(AlbertForSequenceClassification)

Tuple Fields

0: AlbertForSequenceClassification

Albert for Sequence Classification

XLNet(XLNetForSequenceClassification)

Tuple Fields

0: XLNetForSequenceClassification

XLNet for Sequence Classification

Longformer(LongformerForSequenceClassification)

Tuple Fields

0: LongformerForSequenceClassification

Longformer for Sequence Classification

Implementations

impl ZeroShotClassificationOption

pub fn new<'p, P>(
    model_type: ModelType,
    p: P,
    config: &ConfigOption
) -> Result<Self, RustBertError> where
    P: Borrow<Path<'p>>, 

Instantiate a new zero shot classification model of the supplied type.

Arguments

• model_type - ModelType indicating the model type to load (must match with the actual data to be loaded)
• p - tch::nn::Path path to the model file to load (e.g. model.ot)
• config - A configuration (the model type of the configuration must be compatible with the value for model_type)

pub fn model_type(&self) -> ModelType

Returns the ModelType for this SequenceClassificationOption

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.