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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.
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.
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`.
HuggingFace Models is a prominent platform in the machine learning community, providing an extensive library of pre-trained models for various natural language processing (NLP) tasks.
Nov 20, 2023 · Hugging Face Transformers offers cutting-edge machine learning tools for PyTorch, TensorFlow, and JAX. This platform provides easy-to-use APIs and tools for downloading and training top-tier pretrained 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.
Hugging Face Text Embeddings Inference API. POST /decode. Decode input ids. POST /embed. Get Embeddings. Returns a 424 status code if the model is not an embedding model. POST /embed_all. Get all Embeddings without Pooling. POST /embed_sparse. Get Sparse Embeddings.
Sep 12, 2023 · By the end of this tutorial, you'll be equipped with the knowledge to use Hugging Face Transformers as a Library for analyzing the sentiment of text data. What is Hugging Face🤗? Hugging Face🤗 is a community specializing in Natural Language Processing (NLP) and artificial intelligence (AI).
