v4.56: Dino v3, X-Codec, Ovis 2, MetaCLIP 2, Florence 2, SAM 2, Kosmos 2.5, HunYuan, GLMV-4.5

v4.56: Dino v3, X-Codec, Ovis 2, MetaCLIP 2, Florence 2, SAM 2, Kosmos 2.5, HunYuan, GLMV-4.5 huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k v4.56: Dino v3, X-Codec, Ovis 2, MetaCLIP 2, Florence 2, SAM 2, Kosmos 2.5, HunYuan, GLMV-4.5 LysandreJik released this 29 Aug 18:24 · 3859 commits to main since this release v4.56.0 e7d351c New model additions Dino v3 DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings, without fine-tuning. DINOv3 produces high-quality dense features that achieve outstanding performance on various vision tasks, significantly surpassing previous self- and weakly-supervised foundation models.

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• huggingface / transformers Public Notifications You must be signed in to change notification settings Fork 34.7k Star 167k v4.56: Dino v3, X-Codec, Ovis 2, MetaCLIP 2, Florence 2, SAM 2, Kosmos 2.5, HunYuan, GLMV-4.5 LysandreJik released this 29 Aug 18:24 · 3859 commits to main since this release v4.56.0 e7d351c New model additions Dino v3 DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings, without fine-tuning.
• DINOv3 produces high-quality dense features that achieve outstanding performance on various vision tasks, significantly surpassing previous self- and weakly-supervised foundation models.
• You can find all the original DINOv3 checkpoints under the DINOv3 collection.
• Add Dino v3 by @qubvel in #40167 X-Codec he X-Codec model was proposed in Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model by Zhen Ye, Peiwen Sun, Jiahe Lei, Hongzhan Lin, Xu Tan, Zheqi Dai, Qiuqiang Kong, Jianyi Chen, Jiahao Pan, Qifeng Liu, Yike Guo, Wei Xue The X-Codec model is a neural audio codec that integrates semantic information from self-supervised models (e.g., HuBERT) alongside traditional acoustic information.
• This enables : Music continuation : Better modeling of musical semantics yields more coherent continuations.
• Text-to-Sound Synthesis : X-Codec captures semantic alignment between text prompts and generated audio.