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+Transformers acts as the model-definition framework for state-of-the-art machine
+learning models in text, computer vision, audio, video, and multimodal model,
+for both inference and training.
+
+It centralizes the model definition so that this definition is agreed upon
+across the ecosystem. transformers is the pivot across frameworks: if a model
+definition is supported, it will be compatible with the majority of training
+frameworks (Axolotl, Unsloth, DeepSpeed, FSDP, PyTorch-Lightning, ...),
+inference engines (vLLM, SGLang, TGI, ...), and adjacent modeling libraries
+(llama.cpp, mlx, ...) which leverage the model definition from transformers.