A pytorch quantization backend for optimum.
12 similar packages · ranked by shared classifiers & health score · View optimum-quanto →
Optimum ONNX is an interface between the Hugging Face libraries and ONNX / ONNX Runtime
Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus, Jaeger, etc.
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and in
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Efficient few-shot learning with Sentence Transformers
AI for Time Series
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and in
The data structure for multimodal data
optimizer & lr scheduler & objective function collections in PyTorch
dytr: Dynamic Transformer for Multi-Task Learning with Continual Learning Support
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
Parameter-Efficient Fine-Tuning (PEFT)