Hugging Face

Using

Hugging Face is a leading platform for open-source machine learning, offering thousands of pretrained models, curated datasets, and developer tools for NLP, vision, audio, and multimodal tasks. Through its Model Hub, Inference API, Transformers library, and Spaces hosting platform, Hugging Face enables researchers and developers to train, fine-tune, deploy, and share models with a fully managed, production-ready workflow.

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Use Cases

Model Hosting & Deployment for ML Applications

I use Hugging Face to host, version, and deploy machine learning models—both my own and community models—directly into production workflows. The platform provides easy access to state-of-the-art NLP, vision, and generative models, enabling rapid experimentation, scalable inference, and integration into full-stack AI systems.

•Deploy transformer models through Hugging Face Inference API
•Access pretrained models for NLP, computer vision, and generative AI
•Host my own custom models with version control and reproducibility
•Experiment with community models for rapid prototyping