Hugging face ai.

Summarization creates a shorter version of a document or an article that captures all the important information. Along with translation, it is another example of a task that can be formulated as a sequence-to-sequence task. Summarization can be: Extractive: extract the most relevant information from a document.Welcome to Anything V4 - a latent diffusion model for weebs. The newest version of Anything. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images. e.g. 1girl, white hair, golden eyes, beautiful eyes ...A Describe.ai, we are focused on building Artificial Intelligence systems that can understand language as well as humans. While a long path, we plan to contribute our findings to our API to the Open Source community.For face encoder, you need to manutally download via this URL to models/antelopev2. ... This project is released under Apache License and aims to positively impact the field of AI-driven image generation. Users are granted the freedom to create images using this tool, but they are obligated to comply with local laws and utilize it responsibly ...

TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ. Text Generation • Updated Sep 27, 2023 • 2.96k • 539 georgesung/llama2_7b_chat_uncensored Downloading models Integrated libraries. If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines.For information on accessing the model, you can click on the “Use in Library” button on the model page to see how to do so. Model Details. Model Description: openai-gpt (a.k.a. "GPT-1") is the first transformer-based language model created and released by OpenAI. The model is a causal (unidirectional) transformer pre-trained using language modeling on …

Spaces. huggingface-projects. QR-code-AI-art-generator. like1.49k. Runningon Zero. AppFilesFilesCommunity. 38. Refreshing. QR Code AI Art Generator Blend QR codes with AI Art.

Objaverse is a Massive Dataset with 800K+ Annotated 3D Objects. More documentation is coming soon. In the meantime, please see our paper and website for additional details. License. The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse are all licensed as creative commons distributable ...Disclaimer: Content for this model card has partly been written by the Hugging Face team, and parts of it were copied and pasted from the original model card.. Model details Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model. It was trained on 680k hours of labelled speech data annotated using large-scale …Apr 25, 2023 · Hugging Face, which has emerged in the past year as a leading voice for open-source AI development, announced today that it has launched an open-source alternative to ChatGPT called HuggingChat. Org profile for voices on Hugging Face, the AI community building the future. 01.AI is founded by Dr. Kai-Fu Lee and venture-built by Sinovation Ventures AI Institute. The company’s global ambition is to build cutting-edge large language model technology and software applications in the AI 2.0 era. The core focus of 01.AI platform is to develop industry-leading general-purpose LLM, followed multi-modal capabilities ...

To load a specific model revision with HuggingFace, simply add the argument revision: import hf_olmo # pip install ai2-olmo. olmo = AutoModelForCausalLM.from_pretrained("allenai/OLMo-7B", revision="step1000-tokens4B") All revisions/branches are listed in the file revisions.txt. Or, you can access all the …

Hugging Face is positioning the benchmark as a “robust assessment” of healthcare-bound generative AI models. But some medical experts on social media …

Aug 24, 2023 · Hugging Face has raised a total of $395.2 million to date, with its first ever check coming from Betaworks Ventures, placing it among the better-funded AI startups in the space. Those ahead of it ... Downloading models Integrated libraries. If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines.For information on accessing the model, you can click on the “Use in Library” button on the model page to see how to do so. The model was trained with sequence length 512 using Megatron and Deepspeed libs by SberDevices team on a dataset of 600 GB of texts in 61 languages. The model has seen 440 billion BPE tokens in total. Total training time was around 14 days on 256 Nvidia V100 GPUs. Downloads last month.Discover HuggingChat - A Free Revolutionary Platform Connecting You with Advanced AIs! Unleash the potential of top-notch artificial intelligence with HuggingChat, an extraordinary iOS application designed to facilitate seamless communication between users and several groundbreaking large language models (LLMs) from multiples providers like Mistral AI, Meta and Google.01.AI is founded by Dr. Kai-Fu Lee and venture-built by Sinovation Ventures AI Institute. The company’s global ambition is to build cutting-edge large language model technology and software applications in the AI 2.0 era. The core focus of 01.AI platform is to develop industry-leading general-purpose LLM, followed multi-modal capabilities ...The current Stage B often lacks details in the reconstructions, which are especially noticeable to us humans when looking at faces, hands, etc. We are working on making these reconstructions even better in the future! Image Sizes Würstchen was trained on image resolutions between 1024x1024 & 1536x1536.Hugging Face Spaces offer a simple way to host ML demo apps directly on your profile or your organization’s profile. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. We have built-in support for two awesome SDKs that let you ...

Hugging Face is a verified GitHub organization that builds state-of-the-art machine learning tools and datasets for natural language processing, computer vision, and speech. …Hugging Face is the home for all Machine Learning tasks. Here you can find what you need to get started with a task: demos, use cases, models, datasets, and more! Computer Vision. Depth Estimation. 76 models. Image Classification. 11,032 models. Image Segmentation. 643 models. Image-to-Image. 374 models. Image-to-Text.TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ. Text Generation • Updated Sep 27, 2023 • 2.96k • 539 georgesung/llama2_7b_chat_uncensoredHugging Face is a collaborative platform that offers tools and resources for building, training, and deploying NLP and ML models using open-source code. Learn about its … Hugging Face is a machine learning ( ML) and data science platform and community that helps users build, deploy and train machine learning models. It provides the infrastructure to demo, run and deploy artificial intelligence ( AI) in live applications. Users can also browse through models and data sets that other people have uploaded. The Hugging Face Hub is a platform with over 350k models, 75k datasets, and 150k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. ... No single company, including the Tech Titans, will be able to “solve AI” by themselves – the only way we’ll ...Apr 27, 2023 · HuggingChat was released by Hugging Face, an artificial intelligence company founded in 2016 with the self-proclaimed goal of democratizing AI. The open-source company builds applications and ...

AI21 builds reliable, practical, and scalable AI solutions for the enterprise. Jamba is the first in AI21’s new family of models, and the Instruct version of Jamba is coming soon to the AI21 platform. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Documentations. Host Git-based models, datasets and Spaces on the Hugging Face Hub. State-of-the-art ML for Pytorch, TensorFlow, and JAX. State-of-the-art diffusion models for image and audio generation in PyTorch. Access and share datasets for computer vision, audio, and NLP tasks. Generated faces — an online gallery of over 2.6 faces with a flexible search filter. You can search images by age, gender, ethnicity, hair or eye color, and several other parameters. All the photos are consistent in quality and style. Generated humans — a pack of 100,000 diverse super-realistic full-body synthetic photos. Falcon 180B sets a new state-of-the-art for open models. It is the largest openly available language model, with 180 billion parameters, and was trained on a massive 3.5 trillion tokens using TII's RefinedWeb dataset. This represents the longest single-epoch pretraining for an open model. You can find the model on the Hugging Face Hub ( base ...Exploring the unknown, together. Cohere For AI is a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Curiosity-driven collaboration. We are committed to making meaningful ...Transformers Agents. Transformers Agents is an experimental API which is subject to change at any time. Results returned by the agents can vary as the APIs or underlying models are prone to change. Transformers version v4.29.0, building on the concept of tools and agents. You can play with in this colab.Image Classification. Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to.ai-comic-factory. like 6.13k. Running on CPU Upgrade. App Files Files Community 735 Refreshing. Create your own AI comic with a single prompt. Spaces. jbilcke-hf / ai-comic-factory. like 6.1k. Running on CPU Upgrade. App Files Files Community . 732. Refreshing ...

Based on this philosophy, we present HuggingGPT, an LLM-powered agent that leverages LLMs (e.g., ChatGPT) to connect various AI models in machine learning communities (e.g., Hugging Face) to solve AI tasks. Specifically, we use ChatGPT to conduct task planning when receiving a user request, select models according to their …

Image Similarity with Hugging Face Datasets and Transformers. In this post, you'll learn to build an image similarity system with 🤗 Transformers. Finding out the similarity between a query image and potential candidates is an important use case for information retrieval systems, such as reverse image search, for example. All the system is ...

Because of this, the general pretrained model then goes through a process called transfer learning. During this process, the model is fine-tuned in a supervised way — that is, using human-annotated labels — on a given task. An example of a task is predicting the next word in a sentence having read the n previous words. open_llm_leaderboard. like 9.39k. Running on CPU Upgrade The present repo contains the code accompanying the blog post 🦄 How to build a State-of-the-Art Conversational AI with Transfer Learning.. This code is a clean and commented code base with training and testing scripts that can be used to train a dialog agent leveraging transfer Learning from an OpenAI GPT and GPT-2 Transformer language …At Hugging Face, we want to enable all companies to build their own AI, leveraging open models and open source technologies. Our goal is to build an open platform, making it easy for data scientists, machine learning engineers and developers to access the latest models from the community, and use them within the platform of their …stable-diffusion-v1-4. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog. The Stable-Diffusion-v1-4 checkpoint was initialized with the ...What is Hugging Face AI? The Rise of Hugging Face in AI and NLP. Hugging Face began as a chatbot in 2016 and has since grown into a collaborative, …In the "Needle-in-a-Haystack" test, the Yi-34B-200K's performance is improved by 10.5%, rising from 89.3% to an impressive 99.8%. We continue to pre-train the model on 5B tokens long-context data mixture and demonstrate a near-all-green performance. 🎯 2024-03-06: The Yi-9B is open-sourced and available to the public.Hugging Face is a collaborative platform that offers tools and resources for building and deploying NLP and ML models using open-source code. Learn about its history, core components, and features, such as the Transformers library and the Model Hub.HuggingFace概述官网：Hugging Face - The AI community building the future. 官方文档：Hugging Face - DocumentationHuggingFace是一个开源社区，提供了先进的 NLP模型（Models - Hugging Face）、数据集（Dat…6 days ago · Hugging Face is positioning the benchmark as a “robust assessment” of healthcare-bound generative AI models. But some medical experts on social media cautioned against putting too much stock ... Downloading models Integrated libraries. If a model on the Hub is tied to a supported library, loading the model can be done in just a few lines.For information on accessing the model, you can click on the “Use in Library” button on the model page to see how to do so.For example, distilbert/distilgpt2 shows how to do so with 🤗 Transformers below.

At Hugging Face, we want to enable all companies to build their own AI, leveraging open models and open source technologies. Our goal is to build an open platform, making it easy for data scientists, machine learning engineers and developers to access the latest models from the community, and use them within the platform of their …Google and Hugging Face have announced a strategic partnership aimed at advancing open AI and machine learning development. This collaboration will integrate … Join the Hugging Face community. and get access to the augmented documentation experience. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. to get started. 500. Not Found. ← Introduction Natural Language Processing →. FAQ 1. Introduction for different retrieval methods. Dense retrieval: map the text into a single embedding, e.g., DPR, BGE-v1.5 Sparse retrieval (lexical matching): a vector of size equal to the vocabulary, with the majority of positions set to zero, calculating a weight only for tokens present in the text. e.g., BM25, unicoil, and splade Multi-vector retrieval: use …Instagram:https://instagram. dartbankus number phonebob aihow to subscribe to peacock Getting Started - Generative AI with Phi-3-mini: A Guide to Inference and Deployment. Or maybe you were still paying attention to the Meta Llama 3 released last …Generate stunning high quality illusion artwork. 862 Refreshing nyc to jackson holefireflies ai note taker Hugging Face Spaces offer a simple way to host ML demo apps directly on your profile or your organization’s profile. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. We have built-in support for two awesome SDKs that let you ... ponds close to me Installation. Before you start, you will need to setup your environment by installing the appropriate packages. huggingface_hub is tested on Python 3.8+.. Install with pip. It is highly recommended to install huggingface_hub in a virtual environment.If you are unfamiliar with Python virtual environments, take a look at this guide.A virtual …Organization Card. Ongoing Competitions: Finished Competitions: To create a competition, use the competition creator or contact us at: autotrain [at] hf [dot] co.