Search results
NEW. Try Cohere Command R+ on HuggingChat. The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications. Trending on this week. Models. microsoft/Phi-3-vision-128k-instruct. Updated 4 days ago • 21k • 544. mistralai/Mistral-7B-Instruct-v0.3.
- Models
microsoft/Phi-3-vision-128k-instruct. Text Generation •...
- Pricing
Hugging Face Hub free. The HF Hub is the central place to...
- Sign Up
Hugging Face
- Huggingchat
The first open source alternative to ChatGPT. 💪. Making the...
- Microsoft
The SpeechT5 framework consists of a shared seq2seq and six...
- Stabilityai Stable-Diffusion-Xl-Base-1.0
We’re on a journey to advance and democratize artificial...
- Bigcode/Starcoder · Hugging Face
StarCoder Play with the model on the StarCoder Playground.....
- Models
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 access. Use the Hub’s Python client library. Getting started with our git and git-lfs interface. You can create a repository from the CLI (skip if you created a repo from the website)
🤗 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 model from scratch.
Hugging Face is an innovative technology company and community at the forefront of artificial intelligence development.
Products. Models, datasets, spaces. Revenue. 15,000,000 United States dollar (2022) Number of employees. 170 (2023) Website. huggingface .co. Hugging Face, Inc. is a French-American company based in New York City that develops computation tools for building applications using machine learning.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more.