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https://huggingface.co/ | The Home of Machine Learning
Create, discover and collaborate on ML better.
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Give your team the most advanced platform to build AI with enterprise-grade security, access controls and dedicated support.
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https://huggingface.co/amazon | Hugging Face is working with Amazon Web Services to make it easier than ever for startups and enterprises to train and deploy Hugging Face models in Amazon SageMaker.
To train Hugging Face models in Amazon SageMaker, you can use the Hugging Face Deep Learning Containers (DLCs) and the Hugging Face support in the SageM... |
https://huggingface.co/google | ALBERT release
The ALBERT release was done in two steps, over 4 checkpoints of different sizes each time. The first version is noted as "v1", the second as "v2". |
https://huggingface.co/Intel | Intel and Hugging Face are building powerful optimization tools to accelerate training and inference with Transformers. |
https://huggingface.co/microsoft | Research interests
None defined yet.
Collections 1
SpeechT5
The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks.
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
Paper • 2110.07205 • Publis... |
https://huggingface.co/grammarly | Research interests
None defined yet.
models 6
grammarly/coedit-large
Text2Text Generation • Updated 14 days ago • 21.1k • 26
grammarly/pseudonymization-seq2seq
Text2Text Generation • Updated Aug 31 • 4
grammarly/coedit-xxl
Text2Text Generation • Updated Aug 19 • 157 • 10
grammarly/coedit-xl-composite
Text2Text Gene... |
https://huggingface.co/Writer | 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 w... |
https://huggingface.co/docs/transformers | 🤗 Transformers
State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX.
🤗 Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a mo... |
https://huggingface.co/docs/safetensors | You are viewing main version, which requires
installation from source
. If you'd like regular pip install, checkout the latest stable version (v0.3.2).
Safetensors
Safetensors is a new simple format for storing tensors safely (as opposed to pickle) and that is still fast (zero-copy). Safetensors is really fast 🚀.
I... |
https://huggingface.co/docs/diffusers | Diffusers
🤗 Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you’re looking for a simple inference solution or want to train your own diffusion model, 🤗 Diffusers is a modular toolbox that supports both. Our lib... |
https://huggingface.co/docs/huggingface_hub | 🤗 Hub client library
The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share y... |
https://huggingface.co/docs/tokenizers | Tokenizers
Fast State-of-the-art tokenizers, optimized for both research and production
🤗 Tokenizers provides an implementation of today’s most used tokenizers, with a focus on performance and versatility. These tokenizers are also used in 🤗 Transformers.
Main features:
Train new vocabularies and tokenize, using to... |
https://huggingface.co/docs/transformers.js | Transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Transformers.js is designed to be functionally equivalent to Hugging Face’s transformers python library, meaning you can run the same pretrained models using a very similar API. These ... |
https://huggingface.co/docs/timm | timm
timm is a library containing SOTA computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations, and training/evaluation scripts.
It comes packaged with >700 pretrained models, and is designed to be flexible and easy to use.
Read the quick start guide to get up and running with the... |
https://huggingface.co/docs/peft | PEFT
🤗 PEFT, or Parameter-Efficient Fine-Tuning (PEFT), is a library for efficiently adapting pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model’s parameters. PEFT methods only fine-tune a small number of (extra) model parameters, significantly decreasing computatio... |
https://huggingface.co/tasks | Tasks
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
Natural Language Processing
Audio
Tabular
Multimodal
Reinforcement Learning |
https://huggingface.co/support | Thomas Wolf, creator of Transformers
Ross Wightman, creator of timm (SOTA computer vision)
Colin Raffel, first author of T5 from Google
Morgan Funtowicz, contributor to ONNX
Abhishek Thakur, worldwide expert on auto-ML
Victor Sanh, author of DistilBERT
Anthony Moi, creator of Tokenizers
Julien Simon, author of “Learn ... |
https://huggingface.co/huggingface | 👋 Hi!
We are on a mission to democratize good machine learning, one commit at a time.
If that sounds like something you should be doing, why don't you join us!
For press enquiries, you can ✉️ contact our team here. |
https://huggingface.co/brand | Hugging Face · Brand assets
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Hugging Face is the collaboration platform for the machine learning 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 generat... |
https://huggingface.co/inference-endpoints | Machine Learning At Your Service
With 🤗 Inference Endpoints, easily deploy Transformers, Diffusers or any model on dedicated, fully managed infrastructure. Keep your costs low with our secure, compliant and flexible production solution.
Production Inference Made Easy
Deploy models on dedicated and secure infrastruct... |
https://huggingface.co/terms-of-service | Terms of Service
🗓 Effective Date: September 15, 2022
Thanks for using Hugging Face and being part of our awesome community! 🤗
We drafted the following Terms of Service to make your user experience as smooth, private and secure as possible. We are very much open to feedback - contact us at legal@huggingface.co with ... |
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https://huggingface.co/learn | Hugging Face
Learn |
https://huggingface.co/blog | Ethics and Society Newsletter #5: Hugging Face Goes To Washington and Other Summer 2023 Musings
By September 29, 2023
Finetune Stable Diffusion Models with DDPO via TRL
By September 29, 2023 guest
Non-engineers guide: Train a LLaMA 2 chatbot
By September 28, 2023
Llama 2 on Amazon SageMaker a Benchmark
By Septemb... |
https://huggingface.co/privacy | Hugging Face Privacy Policy
🗓 Effective Date: March 28, 2023
We have implemented this Privacy Policy because your privacy is important to us. This Privacy Policy (the “Policy”) describes the type of information that Hugging Face, Inc. (the “Company”) gathers from users of the Hugging Face services (the “Services”), a... |
https://huggingface.co/datasets | Edit Datasets filters
Multimodal
Feature Extraction Text-to-Image Image-to-Text Text-to-Video Visual Question Answering Graph Machine Learning
Computer Vision
Depth Estimation Image Classification Object Detection Image Segmentation Image-to-Image Unconditional Image Generation Video Classification Zero-Shot Image C... |
https://huggingface.co/join/discord | |
https://huggingface.co/spaces | Spaces
Discover amazing ML apps made by the community! |
https://huggingface.co/models | Edit Models filters
Multimodal
Feature Extraction Text-to-Image Image-to-Text Text-to-Video Visual Question Answering Document Question Answering Graph Machine Learning
Computer Vision
Depth Estimation Image Classification Object Detection Image Segmentation Image-to-Image Unconditional Image Generation Video Classi... |
https://huggingface.co/docs | Hugging Face
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https://huggingface.co/pricing | Users and organizations already use the Hub as a collaboration platform,
we’re making it easy to seamlessly and scalably launch ML compute directly from the Hub.
The HF Hub is the central place to explore, experiment, collaborate and build technology with Machine Learning.
Join the open source Machine Learning movemen... |
https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster | Controlnet QR Code Monster v2 For SD-1.5
Model Description
This model is made to generate creative QR codes that still scan. Keep in mind that not all generated codes might be readable, but you can try different parameters and prompts to get the desired results.
NEW VERSION
Introducing the upgraded version of our mod... |
https://huggingface.co/mistralai/Mistral-7B-v0.1 | Model Card for Mistral-7B-v0.1
The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
For full details of this model please read our Release blog post
Model Architecture
Mistral-7B-v0.1 is a t... |
https://huggingface.co/spaces/AP123/IllusionDiffusion | App Files Files
Community
304 |
https://huggingface.co/spaces/Shopify/background-replacement | App Files Files
Community
3 |
https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory | App Files Files
Community
225 |
https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0 | SD-XL 1.0-base Model Card
Model
SDXL consists of an ensemble of experts pipeline for latent diffusion: In a first step, the base model is used to generate (noisy) latents, which are then further processed with a refinement model (available here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/) spe... |
https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 | Model Card for Mistral-7B-Instruct-v0.1
The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets.
For full details of this model please read our release blog post
Instruction format ... |
https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF | Mistral 7B Instruct v0.1 - GGUF
Model creator: Mistral AI
Original model: Mistral 7B Instruct v0.1
Description
This repo contains GGUF format model files for Mistral AI's Mistral 7B Instruct v0.1.
About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, whic... |
https://huggingface.co/spaces/facebook/MusicGen | App Files Files
Community
51 |
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard | App Files Files
Community
303 |
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