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Hugging Faceis a leading AI platform known for its open source tools and model repositories.
This article was correct as of February 2025.
AI tools are updated regularly and it is possible that some features have changed since this article was written.
Some features may also only be available in certain countries.
What is Hugging Face?
These models power applications in text classification, summarisation, translation, and more.
What can you use Hugging Face for?
Hugging Face is also valuable forAI model benchmarkingand evaluation.
What cant you use Hugging Face for?
Hugging Face is not a full-fledged AI deployment platform for large-scale production environments.
The service also lacks built-in tools for real-time AI applications like self-driving cars or industrial automation.
How much does Hugging Face cost?
Hugging Face follows afreemium model.
Hugging Face also offersInference Endpoints, where pricing depends on usage, helping to keep costs down.
Some GPU-powered Spaces require additional fees based on hardware resources.
Where can you use Hugging Face?
Hugging Face is accessible via itsweb-based platform, where users can explore models, datasets, and Spaces.
Developers can integrate Hugging Face into their projects usingPython librariesand APIs.
It also supports cloud deployment through platforms like AWS.
The platform is compatible withGoogleColab and other cloud-based notebooks.
Is Hugging Face any good?
Hugging Face is widely regarded as a top-tier AI platform thanks to its open-source philosophy and ease of use.
- Hugging Face is ideal if you want to fine-tune AI models without building them from scratch.
If your project demands proprietary AI models (likeOpenAIs GPT-4), you wont find them here.
Google Vertex AIis another option, offering enterprise-grade AI tools with strong integration into Google Cloud.
