Hugging face ai

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 ...

In half-precision. Note float16 precision only works on GPU devices. Lower precision using (8-bit & 4-bit) using bitsandbytes. Load the model with Flash Attention 2. The Mixtral-8x7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance.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 ...February 29, 2024. 5 Min Read. Source: WrightStudio via Alamy Stock Photo. Researchers have discovered about 100 machine learning (ML) models that have been uploaded to the Hugging Face artificial ...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 ...gpt-neo-1.3B. GPT-Neo 1.3B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 1.3B represents the number of parameters of this particular pre-trained model. GPT-Neo 1.3B was trained on the Pile, a large scale curated dataset created by EleutherAI for the …Developers using Hugging Face can access Google's cloud setup and its thousands of GPUs connected to services like Vertex AI. Hugging Face is one of the more popular AI model repositories, storing open-sourced foundation models like Meta's Llama 2 and Stability AI's Stable Diffusion.

May 9, 2022 · Hugging Face announced Monday, in conjunction with its debut appearance on Forbes ’ AI 50 list, that it raised a $100 million round of venture financing, valuing the company at $2 billion. Top ... The Hugging Face platform lets developers build, train and deploy state-of-the-art AI models using open-source resources. Over 15,000 organizations use …Edit model card. GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the GPT-NeoX library. Its architecture intentionally resembles that of GPT-3, and is almost identical to that of GPT-J- 6B. Its training dataset contains a multitude of English-language texts, reflecting the general-purpose nature of ...Datasets. 🤗 Datasets is a library for easily accessing and sharing datasets for Audio, Computer Vision, and Natural Language Processing (NLP) tasks. Load a dataset in a single line of code, and use our powerful data processing methods to quickly get your dataset ready for training in a deep learning model. Backed by the Apache Arrow format ...pony-diffusion-v3. pony-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality pony, furry and other non photorealistic SFW and NSFW images through fine-tuning. WARNING: This model is capable of producing NSFW content so it's recommended to use 'safe' tag in prompt in combination with negative prompt for ... Discover amazing ML apps made by the community Track, rank and evaluate open LLMs and chatbots. HuggingFaceH4 5 days ago. Running on CPU Upgrade. 6.1k. 👩‍🎨. Hugging Face – The AI community building the future. Create a new model. From the website. Hub documentation. Take a first look at the Hub features. Programmatic …

Hugging Face is an organization at the center of the open-source ML/AI ecosystem. Developers use their libraries to easily work with pre-trained models, and their Hub platform facilitates sharing and discovery of models and datasets. In this course, you’ll learn about the tools Hugging Face provides for ML developers, from fine-tuning models ...Enterprise-ready version of the world’s leading AI platform. Subscribe to Enterprise Hub. for $20/user/month with your Hub organization. Give your organization the most advanced platform to build AI with enterprise-grade security, … A collection of Open Source-powered recipes by community for AI builders. ML for Games Course This course will teach you about integrating AI models your game and using AI tools in your game development workflow. The text embedding set trained by Jina AI.. Quick Start The easiest way to starting using jina-embeddings-v2-base-en is to use Jina AI's Embedding API.. Intended Usage & Model Info jina-embeddings-v2-base-en is an English, monolingual embedding model supporting 8192 sequence length.It is based on a BERT architecture (JinaBERT) that supports the …Flan-PaLM 540B achieves state-of-the-art performance on several benchmarks, such as 75.2% on five-shot MMLU. We also publicly release Flan-T5 checkpoints,1 which achieve strong few-shot performance even compared to much larger models, such as PaLM 62B. Overall, instruction finetuning is a general method for improving the performance and ...

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We’re on a journey to advance and democratize artificial intelligence through open source and open science. We will now train our language model using the run_language_modeling.py script from transformers (newly renamed from run_lm_finetuning.py as it now supports training from scratch more seamlessly). Just remember to leave --model_name_or_path to None to train from scratch vs. from an existing model or checkpoint.NVIDIA and Hugging Face announce a collaboration to offer NVIDIA DGX Cloud AI supercomputing within the Hugging Face platform for training and tuning large language models (LLMs) and other advanced AI applications. The integration will simplify customizing models for nearly every industry and enable access to NVIDIA's AI computing platform in the world's leading clouds.Welcome to the Free Open Source Voice Models Directory by AI Models!. spaces 9. Sort: Recently updatedstable-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 ...gpt-neo-1.3B. GPT-Neo 1.3B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 1.3B represents the number of parameters of this particular pre-trained model. GPT-Neo 1.3B was trained on the Pile, a large scale curated dataset created by EleutherAI for the …

Welcome to the Free Open Source Voice Models Directory by AI Models!. spaces 9. Sort: Recently updatedWe’re on a journey to advance and democratize artificial intelligence through open source and open science.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…In half-precision. Note float16 precision only works on GPU devices. Lower precision using (8-bit & 4-bit) using bitsandbytes. Load the model with Flash Attention 2. The Mixtral-8x7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance.Object Counting. Object Detection models are used to count instances of objects in a given image, this can include counting the objects in warehouses or stores, or counting the number of visitors in a store. They are also used to …A blog post on how to use Hugging Face Transformers with Keras: Fine-tune a non-English BERT for Named Entity Recognition.; A notebook for Finetuning BERT for named-entity recognition using only the first wordpiece of each word in the word label during tokenization. To propagate the label of the word to all wordpieces, see this version of the …Content from this model card has been written by the Hugging Face team to complete the information they provided and give specific examples of bias. Model description GPT-2 is a transformers model pretrained on a very large corpus of English data in …Developers using Hugging Face can access Google's cloud setup and its thousands of GPUs connected to services like Vertex AI. Hugging Face is one of the more popular AI model repositories, storing open-sourced foundation models like Meta's Llama 2 and Stability AI's Stable Diffusion.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 …

from transformers import AutoTokenizer, AutoModel import torch def cls_pooling (model_output, attention_mask): return model_output[0][:, 0] # Sentences we want sentence embeddings for sentences = ['This is an example sentence', 'Each sentence is converted'] # Load model from HuggingFace Hub tokenizer = AutoTokenizer.from_pretrained('AI …

The AI community building the future. Website. https://huggingface.co. Industry. Software Development. Company size. 51-200 employees. Type. Privately Held. Founded. 2016. Specialties. machine...Pix2Struct is a state-of-the-art model built and released by Google AI. The model itself has to be trained on a downstream task to be used. These tasks include, captioning UI components, images including text, visual questioning infographics, charts, scientific diagrams and more. You can find these models on recommended models of this page ...Hugging Face is an open-source platform that offers a wide range of natural language processing (NLP) models and applications, from chatbots to translation services. It’s … We’re on a journey to advance and democratize artificial intelligence through open source and open science. Using fastai at Hugging Face. fastai is an open-source Deep Learning library that leverages PyTorch and Python to provide high-level components to train fast and accurate neural networks with state-of-the-art outputs on text, vision, and tabular data.. Exploring fastai in the Hub. You can find fastai models by filtering at the left of the models page.. All models …from transformers import AutoTokenizer, AutoModel import torch def cls_pooling (model_output, attention_mask): return model_output[0][:, 0] # Sentences we want sentence embeddings for sentences = ['This is an example sentence', 'Each sentence is converted'] # Load model from HuggingFace Hub tokenizer = AutoTokenizer.from_pretrained('AI …Using fastai at Hugging Face. fastai is an open-source Deep Learning library that leverages PyTorch and Python to provide high-level components to train fast and accurate neural networks with state-of-the-art outputs on text, vision, and tabular data.. Exploring fastai in the Hub. You can find fastai models by filtering at the left of the models page.. All models …Faces and people in general may not be generated properly. The autoencoding part of the model is lossy. Bias While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.The Hugging Face DLC is packed with optimized transformers, datasets, and tokenizers libraries to enable you to fine-tune and deploy generative AI applications at scale in hours instead of weeks - with minimal code changes.

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Hugging Face is a collaborative Machine Learning platform in which the community has shared over 150,000 models, 25,000 datasets, and 30,000 ML apps. Throughout the …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.Developers using Hugging Face can now easily optimize performance and lower cost to bring generative AI applications to production faster. High-performance and cost-efficient generative AI Building, training, and deploying large language and vision models is an expensive and time-consuming process that requires deep expertise in …By leveraging the strong language capability of ChatGPT and abundant AI models in Hugging Face, HuggingGPT can tackle a wide range of sophisticated AI tasks spanning different modalities and domains and achieve impressive results in language, vision, speech, and other challenging tasks, which paves a new way towards the realization of ...This stable-diffusion-2-1 model is fine-tuned from stable-diffusion-2 ( 768-v-ema.ckpt) with an additional 55k steps on the same dataset (with punsafe=0.1 ), and then fine-tuned for another 155k extra steps with punsafe=0.98. Use it with the stablediffusion repository: download the v2-1_768-ema-pruned.ckpt here. Use it with 🧨 diffusers.Flan-PaLM 540B achieves state-of-the-art performance on several benchmarks, such as 75.2% on five-shot MMLU. We also publicly release Flan-T5 checkpoints,1 which achieve strong few-shot performance even compared to much larger models, such as PaLM 62B. Overall, instruction finetuning is a general method for improving the performance and ...The Aya model is a massively multilingual generative language model that follows instructions in 101 languages. Aya outperforms mT0 and BLOOMZ a wide variety of automatic and human evaluations despite covering double the number of languages. The Aya model is trained using xP3x, Aya Dataset, Aya Collection, a subset of …HuggingFace是一家估值20亿美元的AI独角兽，有24个投资人，包括LuxCapital，红杉资本等。 在大模型领域，我们已经看多了巨额融资，例如OpenAI获得微软的百亿美元投资，以及最近InflectionAI获得微软和英伟达的13亿美元融资。 但是HuggingFace这家估值"仅20亿美元"的公司，却是目前AI领域的创造力中心之一。 因为它是一个"构建未来的AI开源社区"，被称为"AI领域的Github"，不仅有人数众多的开发者和产品经理在它的社区里研究和发布自己训练或微调的AI模型，客户也超过5000个 (其中3000个是付费客户)。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.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 Whisper large-v3 model is trained on 1 million hours of weakly labeled audio and 4 million hours of pseudolabeled audio collected using Whisper large-v2. The model was trained for 2.0 epochs over this mixture dataset. The large-v3 model shows improved performance over a wide variety of languages, showing 10% to 20% reduction of errors ... ….

Starting at $0.032/hour. Inference Endpoints (dedicated) offers a secure production solution to easily deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub. → Learn more. CPU instances. Provider. Building the future of Open Source Creative AI. Out of the ecosystem created by Stable Diffusion, a group of individuals beginning with Dr. Lincoln Stein formed to work towards building the best tools for generating high-quality images and empowering creatives with the power of AI. InvokeAI has grown to a full-time team of developers working ... We’re on a journey to advance and democratize artificial intelligence through open source and open science. 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. face-swap. like 445. Running App Files Files Community 41 Refreshing. Discover amazing ML apps made by the community. Spaces. felixrosberg / face-swap. like 441. Running . App Files Files Community . 41. Refreshing ...Aug 24, 2023 · AI startup Hugging Face said on Thursday it was valued at $4.5 billion in a $235-million funding round backed by technology heavyweights, including Salesforce , Alphabet's Google and Nvidia . Hugging Face is an open-source platform that offers a wide range of natural language processing (NLP) models and applications, from chatbots to translation services. It’s …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 …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 ... Hugging face ai, VMware’s Private AI Reference Architecture makes it easy for organizations to quickly leverage popular open source projects such as ray and kubeflow to deploy AI services adjacent to their private datasets, while working with Hugging Face to ensure that organizations maintain the flexibility to take advantage of the latest and greatest in ..., 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., In half-precision. Note float16 precision only works on GPU devices. Lower precision using (8-bit & 4-bit) using bitsandbytes. Load the model with Flash Attention 2. The Mixtral-8x7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance., pony-diffusion-v3. pony-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality pony, furry and other non photorealistic SFW and NSFW images through fine-tuning. WARNING: This model is capable of producing NSFW content so it's recommended to use 'safe' tag in prompt in combination with negative prompt for ..., Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. Tech giants including Google, Amazon, and Nvidia have bolstered AI startup Hugging Face with significant investments, making …, Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model. Links to other models can be found in the index at the bottom. Note: Use of this model is governed by the Meta license., Discover amazing ML apps made by the community, The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together. With the fast-growing community, …, You can either train the model without the additional visual quality disriminator (< 1 day of training) or use the discriminator (~2 days). For the former, run: To train with the visual quality discriminator, you should run hq_wav2lip_train.py instead. The arguments for both the files are similar., AI WebTV - a Hugging Face Space by jbilcke-hf. Spaces. jbilcke-hf. AI-WebTV. like479. Running. AppFilesFilesCommunity. 14. Discover amazing ML apps made by the community., 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. , 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 …, Welcome to EleutherAI's HuggingFace page. We are a non-profit research lab focused on interpretability, alignment, and ethics of artificial intelligence. Our open source models are hosted here on HuggingFace. You may also be interested in our GitHub, website, or Discord server., Omer Mahmood. ·. Follow. Published in. Towards Data Science. ·. 11 min read. ·. Apr 13, 2022. Photo by Hannah Busing on Unsplash. The TL;DR. Hugging Face is a community and data science …, 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 ..., Apple said on its Hugging Face model page that OpenELM, which stands for "Open-source Efficient Language Models," performs very efficiently on text-related tasks like email writing., 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., February 29, 2024. 5 Min Read. Source: WrightStudio via Alamy Stock Photo. Researchers have discovered about 100 machine learning (ML) models that have been uploaded to the Hugging Face artificial ..., Apr 13, 2022 · The TL;DR. Hugging Face is a community and data science platform that provides: Tools that enable users to build, train and deploy ML models based on open source (OS) code and technologies. A place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open ... , Free. Course. Intro to Hugging Face. Learn about the Hugging Face AI and machine learning platform, and how their tools can streamline ML and AI development. 4.1. 97 ratings. Start. 2,559 learners enrolled. Built in partnership with. Skill level. Beginner. Time to complete. <1 hour. Certificate of completion. Included with paid plans., To create an access token, go to your settings, then click on the Access Tokens tab. Click on the New token button to create a new User Access Token. Select a role and a name for your token and voilà - you’re ready to go! You can delete and refresh User Access Tokens by clicking on the Manage button., There are significant benefits to using a pretrained model. It reduces computation costs, your carbon footprint, and allows you to use state-of-the-art models without having to train one from scratch. 🤗 Transformers provides access to …, AI WebTV - a Hugging Face Space by jbilcke-hf. Spaces. jbilcke-hf. AI-WebTV. like479. Running. AppFilesFilesCommunity. 14. Discover amazing ML apps made by the community., Learn more about the AI vs. AI challenges you’re going to participate in. Learn more about us. Create your Hugging Face account (it’s free). Sign-up to our Discord server, the place where you can chat with your classmates and us …, Hugging Face's AutoTrain tool chain is a step forward towards Democratizing NLP. It offers non-researchers like me the ability to train highly performant NLP models and get them deployed at scale, quickly and efficiently. Kumaresan Manickavelu - NLP Product Manager, eBay. AutoTrain has provided us with zero to hero model in minutes with no ... , Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. Sign Up. to get started. 500. Not Found. ← GPT-J GPTBigCode →. We’re on a journey to advance and democratize artificial intelligence through open source and open science., We’re on a journey to advance and democratize artificial intelligence through open source and open science., 介绍 Meta 公司的 Llama 3 是开放获取的 Llama 系列的最新版本，现已在 Hugging Face 平台发布。看到 Meta 持续致力于开放 AI 领域的发展令人振奋，我们也非常高兴地全力支持此次发布，并实现了与 Hugging Face 生态系统的深度集成。 Llama 3, 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 ..., Google and Hugging Face have announced a strategic partnership aimed at advancing open AI and machine learning development. This collaboration will integrate …, Google and Hugging Face have announced a strategic partnership aimed at advancing open AI and machine learning development. This collaboration will integrate …, Use in Transformers. Edit model card. Bark. Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying., 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 weak supervision. The models were trained on either English-only data or multilingual data. The English-only models were trained on the task of speech recognition.