Hugging face 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 …

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 ...Discover amazing ML apps made by the communityHugging Face is a platform that offers thousands of AI models, datasets, and demo apps for NLP, computer vision, audio, and multimodal tasks. Learn how to …Feb 21, 2023 · Together, Hugging Face and AWS are bridging the gap so the global AI community can benefit from the latest advancements in machine learning to accelerate the creation of generative AI applications. “The future of AI is here, but it’s not evenly distributed,” said Clement Delangue, CEO of Hugging Face. “Accessibility and transparency are ... 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.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 …Nov 2, 2023 · Yi-34B model ranked first among all existing open-source models (such as Falcon-180B, Llama-70B, Claude) in both English and Chinese on various benchmarks, including Hugging Face Open LLM Leaderboard (pre-trained) and C-Eval (based on data available up to November 2023). 🙏 (Credits to Llama) Thanks to the Transformer and Llama open-source ...

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.ilumine-AI / Insta-3D. like 233. Running App Files Files Community 4 Discover amazing ML apps made by the community. Spaces. ilumine-AI / Insta-3D. like 233. Running . App Files Files Community . 4 ...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 ...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 ... Stable Diffusion 2-1 - a Hugging Face Space by stabilityai. /. like. 10.3k. Running on CPU Upgrade. Discover amazing ML apps made by the community. You can find fine-tuning question answering datasets on platforms like Hugging Face, with datasets like m-a-p/COIG-CQIA readily available. Additionally, Github offers fine-tuning frameworks, ... {Yi: Open Foundation Models by 01.AI}, author={01. AI and : and Alex Young and Bei Chen and Chao Li and Chengen Huang and Ge Zhang and …Beginner. 1 Hour. Maria Khalusova Marc Sun Younes Belkada. Find and filter open source models on Hugging Face Hub based on task, rankings, and memory requirements. Write just a few lines of code using the transformers library to perform text, audio, image, and multimodal tasks.clip-vit-base-patch32. Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here. The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision tasks. The model was also developed to test the ability of models to generalize to arbitrary image ...

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. Discover amazing ML apps made by the communityIn 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.On the Hugging Face Hub, we are building the largest collection of models and datasets publicly available in order to democratize machine learning 🚀. In the Hub, you can find more than 27,000 models shared by the AI community with state-of-the-art performances on tasks such as sentiment analysis, object detection, text generation, …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 …

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Hugging Face stands out as the de facto open and collaborative platform for AI builders with a mission to democratize good Machine Learning. It provides users with …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.Org profile for Playground on Hugging Face, the AI community building the future.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 ...Nov 2, 2023 · What is Yi? Introduction 🤖 The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI.. 🙌 Targeted as a bilingual language model and trained on 3T multilingual corpus, the Yi series models become one of the strongest LLM worldwide, showing promise in language understanding, commonsense reasoning, reading comprehension, and more.

Image captioning is the task of predicting a caption for a given image. Common real world applications of it include aiding visually impaired people that can help them navigate through different situations. 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. Generate stunning high quality illusion artwork. 862 RefreshingInference Endpoints generative ai Has a Space AutoTrain Compatible text-generation-inference Other with no match Eval Results Merge 4-bit precision custom_code Carbon Emissions 8-bit precision Mixture of ExpertsDevelopers 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 …Apr 3, 2023 · Hugging Face, the fast-growing New York-based startup that has become a central hub for open-source code and models, cemented its status as a leading voice in the AI community on Friday, drawing ... Stable Diffusion 2-1 - a Hugging Face Space by stabilityai. /. like. 10.3k. Running on CPU Upgrade. Discover amazing ML apps made by the community. 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 …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 …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.In collaboration with Ontocord ( www.ontocord.ai) and LAION ( www.laion.ai ). BakLLaVA 1 is a Mistral 7B base augmented with the LLaVA 1.5 architecture. In this first version, we showcase that a Mistral 7B base outperforms Llama 2 13B on several benchmarks. You can run BakLLaVA-1 on our repo. We are currently updating it to …

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 …

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.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 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. 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 ...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.Hugging Face introduces Idefics2, an 8B open-source visual language model. Ken Yeung @thekenyeung. April 15, 2024 8:56 PM. AI-generated image of … 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. 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

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A significant step towards removing language barriers through expressive, fast and high-quality AI translation. Seamless: Multilingual Expressive and Streaming Speech Translation. Paper • 2312.05187 • Published Dec 8, 2023 • …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.Hugging Face stands out as the de facto open and collaborative platform for AI builders with a mission to democratize good Machine Learning. It provides users with the necessary infrastructure to host, train, and collaborate on AI model development within their teams.GPT-Neo 2.7B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 2.7B represents the number of parameters of this particular pre-trained model. Training data. GPT-Neo 2.7B was trained on the Pile, a large scale curated dataset created by EleutherAI for the ...nomic-ai/nomic-embed-text-v1 · Hugging Face. Model card Files. 16. Use in libraries. Edit model card. nomic-embed-text-v1: A Reproducible Long Context (8192) Text Embedder. nomic-embed-text-v1 is 8192 context length text encoder that surpasses OpenAI text-embedding-ada-002 and text-embedding-3-small performance on short and long context …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 ...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 … ….

Zork is an interactive fiction computer game created in the 1970s by Infocom, Inc., which was later acquired by Activision Blizzard. It is widely considered one of the most influential games ever made and has been credited with popularizing text-based adventure games. The original version of Zork was written in the programming language MACRO-10 ...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 …Hugging Face: The Artificial Intelligence Community Building the Future. Startup Spotlight #5. Jeff Burke. Jun 11, 2021. 10. 3. Share. Every day, founders & …Joining Hugging Face and installation To share models in the Hub, you will need to have a user. Create it on the Hugging Face website. The huggingface_hub library is a lightweight Python client with utility functions to interact with the Hugging Face Hub. To push fastai models to the hub, you need to have some libraries pre-installed (fastai>=2 ...Hugging Face: The Artificial Intelligence Community Building the Future. Startup Spotlight #5. Jeff Burke. Jun 11, 2021. 10. 3. Share. Every day, founders & … 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. Feb 2, 2024 · Hugging Face, the New York City-based startup that offers a popular, developer-focused repository for open source AI code and frameworks (and hosted last year’s “Woodstock of AI”), today ... Welcome to the Free Open Source Voice Models Directory by AI Models!. spaces 9. Sort: Recently updated Hugging face ai, [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1]