Search Models on Hugging Face Hub — hf_search

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

if (FALSE) { # \dontrun{
# 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")
} # }