Hugging Face
Hugging Face is the leading platform for open-source AI models and datasets, with tools to use and fine-tune them.
At a glance
- Field
- AI & Machine Learning
- Best for
- Open-source models
- Related service
- AI & Machine Learning
- First conversation
- Free, no obligation
Why businesses use Hugging Face
Open models can be hosted privately, customised, and run at lower cost for some tasks. Hugging Face gives access to thousands of them for language, vision, and audio.
How Hugging Face works
Teams select a suitable pretrained model, test it on their data, and either use it as-is or fine-tune it. Models can run on your own infrastructure or through hosted endpoints.
What it's used for
- 01Private or self-hosted AI
- 02Specialised classification models
- 03Speech and audio processing
- 04Fine-tuning for niche tasks
Benefits
- Huge choice of open models
- Option to keep data in your infrastructure
- Lower cost for high-volume tasks
- Strong community
Good to know
Every technology has trade-offs. We will always tell you when another option fits better.
- Self-hosting adds infrastructure work
- Open models may trail the most capable hosted models on hard tasks
How MOKRIN uses Hugging Face
We use Hugging Face as part of our ai & machine learning work, mainly for open-source models. It is one of the tools we recommend when it fits your goals, budget, and existing systems, and you own everything we build with it.
- AI assistants and chatbots
- Document processing
- Predictions and recommendations
- Computer vision
AI & Machine Learning
Related technologies
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