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Serverless Inference API. Test and evaluate, for free, over 150,000 publicly accessible machine learning models, or your own private models, via simple HTTP requests, with fast inference hosted on Hugging Face shared infrastructure.
Hub API Endpoints. We have open endpoints that you can use to retrieve information from the Hub as well as perform certain actions such as creating model, dataset or Space repos. We offer a wrapper Python library, huggingface_hub, that allows easy access to these endpoints.
Fully-hosted API for AI. Up and running in minutes. +50,000 state-of-the-art models. Instantly integrate ML models, deployed for inference via simple API calls. Wide variety of machine learning tasks.
Overview. Let’s have a quick look at the Serverless Inference API. Main features: Leverage 150,000+ Transformer, Diffusers, or Timm models (T5, Blenderbot, Bart, GPT-2, Pegasus...) Upload, manage and serve your own models privately. Run Classification, NER, Conversational, Summarization, Translation, Question-Answering, Embeddings Extraction tasks.
API to access the contents, metadata and basic statistics of all Hugging Face Hub datasets.
API describes all classes and functions: MAIN CLASSES details the most important classes like configuration, model, tokenizer, and pipeline. MODELS details the classes and functions related to each model implemented in the library.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn more about Inference Endpoints at Hugging Face . It works with both Inference API (serverless) and Inference Endpoints (dedicated). You can also try out a live interactive notebook, see some demos on hf.co/huggingfacejs, or watch a Scrimba tutorial that explains how Inference Endpoints works.
Sep 23, 2023 · This article focuses on providing a step-by-step guide on obtaining and utilizing an Inference API token from Hugging Face, which is free to use, for tasks such object detection and...
Jan 10, 2024 · To use a pre-trained model on a given input, Hugging Face provides a pipeline() method, an easy-to-use API for performing a wide variety of tasks. The pipeline () method makes it simple to use any model from the Hub for inference on any language, computer vision, speech, and multimodal tasks.
