Hugging Face

Hugging Face - Empowering the AI Community for a Transformative Future

Explore the boundless possibilities of AI with Hugging Face, a leading platform offering reference open-source tools in machine learning. Join our vibrant community to embark on your ML journey, addressing challenges in Audio, Vision, and Language through collaborative AI solutions.

Semrush rank: 1 billion
Location: France
Release time: Jul. 2016


  • Open Source Transformers: Transformers, our natural language processing library and hub, welcomes all ML models. Benefit from support with libraries like Flair, Asteroid, ESPnet, Pyannote, and many more on the horizon.
  • On-demand Inference API: Effortlessly serve your models directly from Hugging Face infrastructure, enabling swift execution of large-scale NLP models in milliseconds with just a few lines of code.
  • Fill-Mask Examples: Explore examples showcasing computation time for mask token models like cached happiness, survival, salvation, freedom, and unity, providing valuable insights into model capabilities.
  • Token Classification Examples: Delve into token classification model examples, such as ‘My name is Clara and I live in Berkeley, California. I work at this cool company called Hugging Face,’ to enhance language interpretation and generate accurate outputs.
  • Science – Our Research Contributions: Hugging Face spearheads the advancement and democratization of NLP with state-of-the-art zero-shot language models, a smaller, faster, cheaper, and lighter BERT, hierarchical multi-task learning, meta-learning for language modeling, an open-source coreference resolution library, and an Auto-complete web app for text generation capabilities.

Use Cases:

  • Join the Community: Embark on your ML journey by joining our dynamic community. Learn, create, discover, and collaborate on ML solutions to shape a transformative future.
  • Solve Audio, Vision, and Language with AI: Thousands of creators collaborate within our community to collectively tackle challenges in Audio, Vision, and Language using the power of AI.
  • Run Large Scale NLP Models: Leverage Hugging Face’s infrastructure to seamlessly serve your models, enabling the rapid execution of large-scale NLP models with minimal code.
  • Improve Token Classification: Enhance language interpretation and generate precise outputs using Hugging Face’s token classification models, contributing to accurate and useful AI solutions.

Hugging Face stands at the forefront of AI innovation, democratically advancing NLP for all. With our open-source approach, effective models, and a suite of AI-focused tools, we invite you to join our movement. Create, discover, and collaborate on ML solutions to address challenges in Audio, Vision, and Language with the power of AI.

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