A pytorch quantization backend for optimum.
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Optimum ONNX is an interface between the Hugging Face libraries and ONNX / ONNX Runtime
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and in
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and in
Efficient few-shot learning with Sentence Transformers
The data structure for multimodal data
A Unified Library for Parameter-Efficient and Modular Transfer Learning
AI for Time Series
Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus, Jaeger, etc.
dytr: Dynamic Transformer for Multi-Task Learning with Continual Learning Support
optimizer & lr scheduler & objective function collections in PyTorch
State-of-the-art diffusion in PyTorch and JAX.
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web. See the pri