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Strategies for distributing data across multiple compute nodes.
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- huggingface/transformers
huggingface/transformers
161,630Voir sur GitHubTransformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and
Synchronizes model training across multiple GPUs to reduce overall computation time through distributed data strategies.
Pythonaudiodeep-learningdeepseek
