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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.
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.
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.
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.
The Hugging Face Hub is a platform with over 120k models, 20k datasets, and 50k demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
Typescript wrapper for the Hugging Face Inference Endpoints & Inference API. Latest version: 2.7.0, last published: a month ago. Start using @huggingface/inference in your project by running `npm i @huggingface/inference`.
Nov 2, 2023 · Fine-Tuning Models: Users have the capability to fine-tune and train deep learning models using Hugging Face’s suite of application programming interface (API) tools. Hosting Demos: The platform provides a feature for creating interactive, browser-based demos of machine learning models.
Apr 4, 2023 · One of their most popular offerings is the Hugging Face API, which provides access to pre-trained NLP models for a variety of tasks such as text classification, sentiment analysis, question answering, and more.
API Reference: HuggingFaceBgeEmbeddings. Hugging Face Text Embeddings Inference (TEI) is a toolkit for deploying and serving open-source text embeddings and sequence classification models. TEI enables high-performance extraction for the most popular models, including FlagEmbedding, Ember, GTE and E5.
Datasets API. The 🤗 Datasets server gives access to the contents, metadata and basic statistics of the Hugging Face Hub datasets via a REST API. Explore public APIs from Hugging Face, exclusively on the Postman API Network. Find everything you need to quickly get started with Hugging Face APIs.
