huggingface
Platform for machine learning and data science community
By Daily AI Tools · Last updated · How we track tools
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Hugging Face functions as a central repository and community hub for artificial intelligence research and development. Users share transformer models, datasets, and evaluation metrics through a Git-based version control system tailored for machine learning assets. The platform supports popular frameworks such as PyTorch, TensorFlow, and JAX. Monetization relies on free community access alongside paid individual PRO subscriptions and managed Enterprise Hub tiers for organizations.
- Works on:
- Web, API
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- Delegating administrative work through iMessage or SMS
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What huggingface does well
- ✓ Hosting and sharing machine learning models
- ✓ Deploying AI models via scalable APIs
- ✓ Collaborating on data science datasets
Key features
- Hosts over 500,000 open-source machine learning models
- Provides Inference Endpoints for deploying models via API
- Includes Spaces for hosting interactive machine learning demos
- Manages version-controlled datasets for training models
People also ask
What libraries does Hugging Face maintain? +
Hugging Face maintains open-source Python libraries including Transformers, Diffusers, Datasets, and Accelerate.
Can I host private models on Hugging Face? +
Yes, users create private repositories to restrict access to proprietary models and datasets.
How do Inference Endpoints work? +
Inference Endpoints deploy models to dedicated cloud infrastructure with automatic scaling and a standard REST API.
What platforms does huggingface run on? +
huggingface runs on Web, API.
At a glance
- Pricing model
- freemium
- Category
- agents
- Website
- huggingface.co ↗
- Featured on
- Capabilities
- ai-generation developer-api fine-tuned-models knowledge-base
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Pricing
We track and organize AI tools. We don't rate them. We link a Product Hunt listing or a Reddit thread when we have confirmed a real one for this tool, and nothing when we haven't.
