hf_search_models: Search Models on Hugging Face Hub
In huggingfaceR: Access 'Hugging Face' Models and Datasets

hf_search_models

R Documentation

Search Models on Hugging Face Hub

Description

Search for models using various filters. Returns a tibble of matching models.

Usage

hf_search_models(
  search = NULL,
  task = NULL,
  author = NULL,
  language = NULL,
  library = NULL,
  tags = NULL,
  sort = "downloads",
  direction = "desc",
  limit = 30,
  token = NULL
)

Arguments

`search`	Character string. Search query to filter models.
`task`	Character string. Filter by task (e.g., "text-classification").
`author`	Character string. Filter by model author/organization.
`language`	Character string. Filter by language (e.g., "en").
`library`	Character string. Filter by library (e.g., "pytorch", "transformers").
`tags`	Character vector. Filter by tags.
`sort`	Character string. Sort by field: "downloads", "likes", "created", "updated". Default: "downloads".
`direction`	Character string. Sort direction: "asc" or "desc". Default: "desc".
`limit`	Integer. Maximum number of models to return. Default: 30.
`token`	Character string or NULL. API token for authentication.

Value

A tibble with model information.

Examples

## Not run: 
# Search by task
hf_search_models(task = "text-classification", limit = 10)

# Search by author
hf_search_models(author = "facebook", sort = "downloads")

# Search with query
hf_search_models(search = "sentiment", task = "text-classification")

## End(Not run)

huggingfaceR documentation built on Aug. 30, 2026, 1:06 a.m.