DashAI.back.models.DistilBertTransformer

class DistilBertTransformer(model=None, **kwargs)

Pre-trained transformer DistilBERT allowing English text classification.

DistilBERT is a small, fast, cheap and light Transformer model trained by distilling BERT base. It has 40% less parameters than bert-base-uncased, runs 60% faster while preserving over 95% of BERT’s performances as measured on the GLUE language understanding benchmark [1].

References

[1] https://huggingface.co/docs/transformers/model_doc/distilbert

__init__(model=None, **kwargs)

Initialize the transformer model.

The process includes the instantiation of the pre-trained model and the associated tokenizer.

Methods

__init__([model])	Initialize the transformer model.
fit(x_train, y_train)	Fine-tune the pre-trained model.
get_schema()	Generates the component related Json Schema.
load(filename)	Restores an instance of a model.
predict(x_pred)	Predict with the fine-tuned model.
save(filename)	Store an instance of a model.
tokenize_data(dataset)	Tokenize the input data.
validate_and_transform(raw_data)	It takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.

Attributes

COMPATIBLE_COMPONENTS
TYPE