ELS-RD / transformer-deployLinks
Efficient, scalable and enterprise-grade CPU/GPU inference server for π€ Hugging Face transformer models π
β1,688Updated 7 months ago
Alternatives and similar repositories for transformer-deploy
Users that are interested in transformer-deploy are comparing it to the libraries listed below
Sorting:
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackabβ¦β1,571Updated last year
- Library for 8-bit optimizers and quantization routines.β716Updated 2 years ago
- Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.β1,000Updated 10 months ago
- PyTorch extensions for high performance and large scale training.β3,331Updated last month
- Ongoing research training transformer language models at scale, including: BERT & GPT-2β1,395Updated last year
- β‘ boost inference speed of T5 models by 5x & reduce the model size by 3x.β579Updated 2 years ago
- Parallelformers: An Efficient Model Parallelization Toolkit for Deploymentβ790Updated 2 years ago
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.β801Updated 4 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.β1,051Updated last year
- FastFormers - highly efficient transformer models for NLUβ705Updated 3 months ago
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.β1,525Updated 2 months ago
- π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimizationβ¦β2,942Updated this week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Servβ¦β477Updated last week
- Flexible components pairing π€ Transformers with Pytorch Lightningβ609Updated 2 years ago
- Transformer related optimization, including BERT, GPTβ6,211Updated last year
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.β2,020Updated 2 months ago
- β411Updated last year
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.β619Updated last week
- A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.β1,206Updated this week
- Automatically split your PyTorch models on multiple GPUs for training & inferenceβ654Updated last year
- Automatically create Faiss knn indices with the most optimal similarity search parameters.β857Updated last year
- Tools to download and cleanup Common Crawl dataβ1,013Updated 2 years ago
- This repository contains tutorials and examples for Triton Inference Serverβ721Updated last week
- Fast Inference Solutions for BLOOMβ564Updated 8 months ago
- A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.β2,639Updated 3 weeks ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2β2,088Updated 2 months ago
- LightSeq: A High Performance Library for Sequence Processing and Generationβ3,278Updated 2 years ago
- Prune a model while finetuning or training.β403Updated 3 years ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blaβ¦β2,491Updated this week
- Efficient few-shot learning with Sentence Transformersβ2,505Updated 2 months ago