SmolVLM: Redefining small and efficient multimodal models Paper β’ 2504.05299 β’ Published 8 days ago β’ 158
SmolVLM: Redefining small and efficient multimodal models Paper β’ 2504.05299 β’ Published 8 days ago β’ 158
SmolVLM: Redefining small and efficient multimodal models Paper β’ 2504.05299 β’ Published 8 days ago β’ 158
SmolVLM: Redefining small and efficient multimodal models Paper β’ 2504.05299 β’ Published 8 days ago β’ 158
coreml-projects/DepthPro-coreml-normalized-inverse-depth-pruned-10-quantized-linear Depth Estimation β’ Updated Feb 7 β’ 2
coreml-projects/DepthPro-coreml-normalized-inverse-depth-pruned-10-quantized-linear Depth Estimation β’ Updated Feb 7 β’ 2
view post Post 12951 We did it. Kokoro TTS (v1.0) can now run 100% locally in your browser w/ WebGPU acceleration. Real-time text-to-speech without a server. β‘οΈGenerate 10 seconds of speech in ~1 second for $0.What will you build? π₯ webml-community/kokoro-webgpuThe most difficult part was getting the model running in the first place, but the next steps are simple:βοΈ Implement sentence splitting, allowing for streamed responsesπ Multilingual support (only phonemization left)Who wants to help? See translation 11 replies Β· π₯ 31 31 π 14 14 π 7 7 π€ 5 5 π 2 2 + Reply
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper β’ 2502.02737 β’ Published Feb 4 β’ 223
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper β’ 2502.02737 β’ Published Feb 4 β’ 223