kedro_datasets.huggingface.HFTransformerPipelineDataset¶
- class kedro_datasets.huggingface.HFTransformerPipelineDataset(*, task=None, model_name=None, pipeline_kwargs=None)[source]¶
HFTransformerPipelineDataset
loads pretrained Hugging Face transformers using the transformers library.Example usage for the YAML API:
summarizer_model: type: huggingface.HFTransformerPipelineDataset task: summarization fill_mask_model: type: huggingface.HFTransformerPipelineDataset task: fill-mask model_name: Twitter/twhin-bert-base
Example usage for the Python API:
from kedro_datasets.huggingface import HFTransformerPipelineDataset dataset = HFTransformerPipelineDataset(task="text-classification", model_name="prajjwal1/bert-tiny") model = dataset.load() assert model("Hello world")[0]["label"].startswith("LABEL_")
Methods
exists
()Checks whether a data set's output already exists by calling the provided _exists() method.
from_config
(name, config[, load_version, ...])Create a data set instance using the configuration provided.
load
()Loads data by delegation to the provided load method.
release
()Release any cached data.
save
(data)Saves data by delegation to the provided save method.
- exists()¶
Checks whether a data set’s output already exists by calling the provided _exists() method.
- Return type:
- Returns:
Flag indicating whether the output already exists.
- Raises:
DatasetError – when underlying exists method raises error.
- classmethod from_config(name, config, load_version=None, save_version=None)¶
Create a data set instance using the configuration provided.
- Parameters:
name (str) – Data set name.
load_version (str | None) – Version string to be used for
load
operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.save_version (str | None) – Version string to be used for
save
operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.
- Return type:
AbstractDataset
- Returns:
An instance of an
AbstractDataset
subclass.- Raises:
DatasetError – When the function fails to create the data set from its config.
- load()¶
Loads data by delegation to the provided load method.
- Return type:
TypeVar
(_DO
)- Returns:
Data returned by the provided load method.
- Raises:
DatasetError – When underlying load method raises error.
- release()¶
Release any cached data.
- Raises:
DatasetError – when underlying release method raises error.
- Return type:
- save(data)¶
Saves data by delegation to the provided save method.
- Parameters:
data (
TypeVar
(_DI
)) – the value to be saved by provided save method.- Raises:
DatasetError – when underlying save method raises error.
FileNotFoundError – when save method got file instead of dir, on Windows.
NotADirectoryError – when save method got file instead of dir, on Unix.
- Return type: