Jobs · Hugging Face

Jobs · Hugging Face Hub documentation Jobs Hub 🏡 View all docsAWS Trainium & InferentiaAccelerateArgillaAutoTrainBitsandbytesCLIChat UIDataset viewerDatasetsDeploying on AWSDiffusersDistilabelEvaluateGoogle CloudGoogle TPUsGradioHubHub Python LibraryHuggingface.jsInference Endpoints (dedicated)Inference ProvidersKernelsLeRobotLeaderboardsLightevalMicrosoft AzureOpenEnvOptimumPEFTReachy MiniSafetensorsSentence TransformersTRLTasksText Embeddings InferenceText Generation InferenceTokenizersTrackioTransformersTransformers.jsXetsmolagentstimm Search documentation Ctrl+K EN Join the Hugging Face community and get access to the augmented documentation experience Collaborate on models, datasets and Spaces Faster examples with accelerated inference Switch between documentation themes to get started Copy page Jobs `Hugging Face Jobs` provide compute for AI and data workflows, allowing you to run workloads on Hugging Face infrastructure with a familiar UV & Docker-like interface. Jobs are ideal for fine-tuning AI models, running inference with GPUs, and data ingestion and processing. You can run jobs using the`hf` CLI, the`huggingface_hub` Python client, or the Jobs HTTP API. Jobs support any hardware from CPUs to A100s & TPUs, with pay-as-you-go pricing where you only pay for seconds used. Contents ←Bucket Security Jobs Overview→