Stars
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
SDK for creating Hugging Face Inference Endpoints deployments
Inference server benchmarking tool
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
GPUd automates monitoring, diagnostics, and issue identification for GPUs
Minimalistic large language model 3D-parallelism training
Large Language Model Text Generation Inference
LSP server leveraging LLMs for code completion (and more?)
Home of StarCoder: fine-tuning & inference!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The official Python client for the Hugging Face Hub.
Interpret Machine Learning black-box models deployed on Serving Engine
Exposes a serialized machine learning model through a HTTP API.
Erlenmeyer is a proxy used to parse common Open Source TimeSeries DataBase query endpoints like OpenTSDB, Prometheus/PromQL, InfluxQL or Graphite. Parsed queries are translated into WarpScript to p…
Kubernetes autoscaler for deployments that consume queue in RMQ
Desktop python client for using OVH Prescience service