YAML Init Parameters

These are the parameters you can pass to this component in the pipeline YAML configuration:

Parameter	Type	Possible values	Description
`labels`	List of strings		The set of possible class labels to classify each sequence into. Can be a single label, a string of comma-separated labels, or a list of labels. Required.
`multi_label`	Boolean	`True`, `False` Default: `False`	Whether or not multiple candidate labels can be true. If False, the scores are normalized such that the sum of the label likelihoods for each sequence is 1. If True, the labels are considered independent, and probabilities are normalized for each candidate by doing a softmax of the entailment score vs. the contradiction score. Required.
`model`	String	Default: `MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33 zero-shot`	The name or path of a Hugging Face model for zero-shot text classification. Required.
`device`	ComponentDevice	Default: `None`	The device on which the model is loaded. If `None`, the default device is automatically selected. If a device/device map is specified in `huggingface_pipeline_kwargs`, it overrides this parameter. Optional.
`token`	Secret	Default: `Secret.from_env_var("HF_API_TOKEN", strict=False)`	The API token used to download private models from Hugging Face. If `token` is set to `True`, the token generated when running `transformers-cli login` (stored in ~/.huggingface) is used. Optional.
`huggingface_pipeline_kwargs`	Dictionary of string and any	Default: `None`	Dictionary containing keyword arguments used to initialize the Hugging Face pipeline for zero shot text classification. Optional.

REST API Runtime Parameters

There are no runtime parameters you can pass to this component when making a request to the Search REST API endpoint.