pinferencia
ray-llm
| pinferencia | ray-llm | |
|---|---|---|
| 21 | 5 | |
| 558 | 1,189 | |
| 0.4% | - | |
| 0.0 | 8.6 | |
| over 1 year ago | 29 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pinferencia
- Show HN: Pinferencia, Deploy Your AI Models with Pretty UI and REST API
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Stop Writing Flask to Serve/Deploy Your Model: Pinferencia is Here
Go visit: Pinferencia (underneathall.app) for detailed examples.
- Looking for a reference design pattern for an image to image microservice
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Google T5 Translation as a Service with Just 7 lines of Codes
**Pinferencia** makes it super easy to serve any model with just three extra lines.
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Pre-trained Model with Fine Tuning/Transfer Learning or Design and Train from Scratch?
Hi, recently I'm writing some tutorials involving HuggingFace's models for my project Pinferencia.
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[D] Pre-trained Model with Fine Tuning/Transfer Learning or Design and Train from Scratch?
Hi, I'm the creator of Pinferencia, recently I'm writer some tutorial involving HuggingFace's models.
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GPT2 — Text Generation Transformer: How to Use & How to Serve
If you haven't heard of Pinferencia go to its github page or its homepage to check it out, it's an amazing library help you deploy your model with ease.
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My first Udemy course on ML Ops deployment!
Please allow me to recommend another simple but serious deployment tools which is also compatible with triton, torchserve, kubeflow, tf serving: Pinferencia
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Easiest Way to Deploy HuggingFace Transformers
Never heard of Pinferencia? It’s not late. Go to its GitHub to take a look. Don’t forget to give it a star if you like it.
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what is the easiest way to deploy a nlp model?
Check this out https://github.com/underneathall/pinferencia
ray-llm
- Best LLM Inference Engines and Servers to Deploy LLMs in Production
- Aviary: Compare Open Source LLMs for cost, latency and quality
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[N] Aviary: Comparing Open Source LLMs for cost, latency and quality
Aviary is a open source utility to compare leading OSS LLMs. https://aviary.anyscale.com/
- Anyscale's Aviary is a dashboard for evaluating Open Source LLMs
- Aviary simplifies OSS LLM eval and deployment
What are some alternatives?
server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.
AutoGPTQ - An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
budgetml - Deploy a ML inference service on a budget in less than 10 lines of code.
Cornucopia-LLaMA-Fin-Chinese - 聚宝盆(Cornucopia): 中文金融系列开源可商用大模型，并提供一套高效轻量化的垂直领域LLM训练框架(Pretraining、SFT、RLHF、Quantize等)
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
safe-rlhf - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
llmware - Unified framework for building enterprise RAG pipelines with small, specialized models
AtomGPT - 中英文预训练大模型，目标与ChatGPT的水平一致
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
HugNLP - CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
serving - A flexible, high-performance serving system for machine learning models
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.