Hugging face ai

André Lopes. Publicado em 25 de agosto de 2023 às, 12h05. Última atualização em 1 de fevereiro de 2024 às, 21h55. A Hugging Face, que funciona como uma gestora de …

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.Starting today, Phi-3-mini, a 3.8B language model is available on Microsoft Azure AI Studio, Hugging Face, and Ollama. Phi-3-mini is available in two context … 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 →. Writer is a generative AI platform focused on advancing AI technology by solving the problems faced by businesses. We are making LLMs accessible to everyone with the availability of our Palmyra LLMs on Hugging Face and our API. You can run these models in your own, secure environment and fine-tune them for your needs while …Discover amazing ML apps made by the communitygpt-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 …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.

KoboldAI/Mistral-7B-Erebus-v3. Text Generation • Updated Jan 13 • 580 • 14. KoboldAI/LLaMA2-13B-Erebus-v3. Text Generation • Updated Jan 13 • 287 • 8. KoboldAI/LLaMA2-13B-Erebus-v3-GGUF. Text Generation • Updated Jan 13 • 1.74k • 9. Expand 67 model s. Models made by the KoboldAI community All uploaded models are …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 ... 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 …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 …Convert them to the HuggingFace Transformers format by using the convert_llama_weights_to_hf.py script for your version of the transformers library. With the LLaMA-13B weights in hand, you can use the xor_codec.py script provided in this repository: python3 xor_codec.py \. ./pygmalion-13b \. ./xor_encoded_files \.MetaAI's CodeLlama - Coding Assistant LLM. Fast, small, and capable coding model you can run locally on your computer! Requires 8GB+ of RAM. Code Llama: Open Foundation Models for Code. Paper • 2308.12950 • Published Aug 24, 2023 • 18. Text Generation • Updated Sep 27, 2023 • 35.1k • 106. DALL·E mini by craiyon.com is an interactive web app that lets you explore the amazing capabilities of DALL·E Mini, a model that can generate images from text. You can type any text prompt and see what DALL·E Mini creates for you, or browse the gallery of existing examples. DALL·E Mini is powered by Hugging Face, the leading platform for natural language processing and computer vision.

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. The Inference API is free to use, and rate limited. If you need an inference solution for production, check out ...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 ...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 …

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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.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.Frequently Asked Questions. You can use Question Answering (QA) models to automate the response to frequently asked questions by using a knowledge base (documents) as context. Answers to customer questions can be drawn from those documents. ⚡⚡ If you’d like to save inference time, you can first use passage ranking models to see which ... Discover amazing ML apps made by the community 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 ...

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.Dataset Card for "emotion". Dataset Summary. Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper. Supported Tasks and Leaderboards.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.GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. * Each layer consists of one feedforward block and one self attention block. † Although the embedding matrix has a size of 50400, only 50257 entries are used by the GPT ...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.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 ...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 … 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 AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications. Trending on this …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 … 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. The Inference API is free to use, and rate limited. If you need an inference solution for production, check out ...

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.

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.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 ...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 …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 ...AI & ML interests Google ️ Open Source AI. Team members 894 +860 +847 +826 +816 +796. Collections 13Apr 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 ... 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. ilumine-AI / LCM-Painter. like 376. Running App Files Files Community 1 Refreshing. Discover amazing ML apps made by the community. Spaces. ilumine-AI / LCM-Painter. like 376. Running . App Files Files Community . 1. Refreshing ...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.

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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 …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. 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. 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 • … 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. 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 ...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 …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.Org profile for Playground on Hugging Face, the AI community building the future."AI remains a science-driven field, and science can only progress through information sharing and collaboration," said Jeff Boudier, head of product and growth at Hugging Face. "This is why open-source AI and the open release of models and datasets are so fundamental to the continued progress of AI, and making sure the technology will … Org profile for voices on Hugging Face, the AI community building the future. ….

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.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 ...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 ...AI & ML interests Google ️ Open Source AI. Team members 894 +860 +847 +826 +816 +796. Collections 13This model is initialized with the LEGAL-BERT-SC model from the paper LEGAL-BERT: The Muppets straight out of Law School. In our work, we refer to this model as LegalBERT, and our re-trained model as InLegalBERT. We further train this model on our data for 300K steps on the Masked Language Modeling (MLM) and Next Sentence Prediction (NSP) … 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. 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. The Inference API is free to use, and rate limited. If you need an inference solution for production, check out ... At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there …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 ...Model Details. Orca 2 is a finetuned version of LLAMA-2. Orca 2’s training data is a synthetic dataset that was created to enhance the small model’s reasoning abilities. All synthetic training data was moderated using the Microsoft Azure content filters. More details about the model can be found in the Orca 2 paper. 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]