🤗 Accelerated Inference API

Integrate into your apps over 50,000 pre-trained state of the art models, or your own private models, via simple HTTP requests, with 2x to 10x faster inference than out of the box deployment, and scalability built-in.

Hugging Face is trusted in production by over 5,000 companies

Main features:

• Leverage 50,000+ Transformer models (T5, Blenderbot, Bart, GPT-2, Pegasus...)
• Use built-in integrations with over 20 Open-Source libraries (spaCy, SpeechBrain, etc).
• Upload, manage and serve your own models privately
• Run Classification, Image Segmentation, NER, Conversational, Summarization, Translation, Question-Answering, Embeddings Extraction tasks
• Get up to 10x inference speedup to reduce user latency
• Accelerated inference on CPU and GPU (GPU requires a Startup or Enterprise plan)
• Run large models that are challenging to deploy in production
• Scale to 1,000 requests per second with automatic scaling built-in
• Ship new NLP, CV, Audio, or RL features faster as new models become available
• Build your business on a platform powered by the reference open source project in ML

If you are looking for custom support from the Hugging Face team

Third-party library models:

• The Hub now supports many new libraries:

  • SpaCy, AllenNLP,
  • Speechbrain,
  • Timm and many others…

• Those models are enabled on the API thanks to some docker integration api-inference-community.

Community models:

Because community models are using external libraries, these are not currently supported by Inference API at this point in time. Please take a look at https://github.com/huggingface/api-inference-community/ for further definition and inference of community models.