Hugging Face Inference
Serverless inference for 1M+ models — the HF ecosystem's API.
About
Hugging Face Inference (2022) is the serverless API for the Hub's 1M+ models: Inference Providers route to Together, Fireworks, and others; Inference Endpoints give dedicated deployments.
Commercial: usage-based (PRO $9/mo includes credits). The Hub-native API — for trying any open model without setup, or deploying fine-tunes, HF Inference is the path of least resistance. The provider routing means you're often using Together/Fireworks under the hood.
What it can do
- • 1M+ models via API\n• Serverless inference\n• Inference Endpoints (dedicated)\n• Provider routing\n• Fine-tune deployment\n• Hub-native
Setup
- Get a HF token at https://huggingface.co/settings/tokens.\n2. Use
huggingface_hubor the Inference API:https://api-inference.huggingface.co.\n3. Call any supported model by ID.
Prerequisites
A Hugging Face account; a token; (for scale) a PRO subscription.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier). The Hub-native API with 1M+ models and Hugging Face's ecosystem. Docked three points: (1) serverless can be slower than dedicated; (2) provider routing adds opacity; (3) not the fastest. For Hub-centric workflows.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.0/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 4.5/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · provider-tier estimate — thinner evidence (no public adoption metric)
- · Hub-native; 1M+ models
- · no release date — neutral maintenance score
- · manual review: serverless can be slower; provider routing opacity; license: proprietary — usage-based; PRO $9/mo
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.