Hugging Face Transformers
Open SourceAbout Hugging Face Transformers
Hugging Face Transformers is a framework for defining machine learning models in text, computer vision, audio, video, and multimodal domains, supporting both inference and training.
Key Capabilities
- ✓Unified framework for transformer model definition
- ✓Support for text, vision, audio, and multimodal models
- ✓Optimized inference pipelines for diverse AI tasks
- ✓Comprehensive training with distributed and mixed precision support
- ✓Access to over 1 million pretrained model checkpoints
Integrations
PyTorch LightningDeepSpeedMicrosoft Azure Optimum
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Quick Facts
huggingface.co/docs/transformersCategoryAI & ML Platforms
SubcategoryComputer Vision & NLP
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise