Default Models for Hugging Face Tasks — hf_default

Central registry of the default model used by each `huggingfaceR` inference function. Every `hf_*` function that takes a `model` argument resolves its default through this single function, so default models live in exactly one place and can be audited or updated without hunting through the codebase.

Usage

hf_default_model(task = NULL)

Arguments

task: Character string naming the task, or `NULL`. One of: "chat", "generate", "fill_mask", "classify", "zero_shot", "embed", "summarize", "translate", "ner", "question_answer", "table_question_answer", "vision_chat", "transcribe", "text_to_speech", "text_to_image", "classify_image", "caption_image", "detect_objects". When `NULL` (the default), the full registry is returned as a tibble.

Value

When `task` is supplied, a single model-ID character string. When `task` is `NULL`, a tibble with columns `task` and `model` listing every default.

Details

Defaults are chosen to be **beginner-friendly**: broadly known, small and fast, low cost, and usable with no extra arguments — the goal is the quickest path to a working first call (think of `mtcars` in base R). Power users can always override any default by passing their own `model`.

Examples

# The default model for a given task
hf_default_model("translate")

# The whole registry at a glance
hf_default_model()