Core competencies and positioning of the Transformers framework
Transformers is indeed an open source machine learning framework developed by the Hugging Face team, which has significant advantages in the areas of natural language processing, computer vision and cross-modal tasks. The framework enables support for diverse tasks such as text generation, image classification, and speech recognition through a unified API design.
- Technical compatibility: Perfectly adapted to the three major deep learning frameworks: PyTorch, TensorFlow and Flax.
- Modeling resources: over 1 million pre-trained models available, including the latest Qwen 2.5 and Whisper series
- Multi-modal support: break through the single-modal limitations, can simultaneously handle text, image, audio interactive tasks
As an open source project, the framework continues to maintain a high frequency of updates, such as the recent addition of the Kyutai-STT speech model and the ColQwen2 document retrieval feature, which demonstrates its leadership at the forefront of technology.
This answer comes from the articleTransformers: open source machine learning modeling framework with support for text, image and multimodal tasksThe
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