domain: docs.bentoml.com · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Save an onnx.ModelProto with bentoml.onnx.save_model(name, model, signatures={'run': {'batchable': True}})
Load it back with bentoml.onnx.load_model(bento_model, providers=[...]), which returns an onnxruntime.InferenceSession
Wrap the loaded session in a BentoML Service class decorated with @bentoml.service, exposing prediction methods with @bentoml.api
Call the session's .run(...) method inside the API method to perform inference
Build the Bento and containerize it for deployment
Known gotchas
The signatures argument only accepts the method name 'run' (mapping to InferenceSession.run); other method names fail
The default signature sets batchable to False, so forgetting to set batchable: True silently disables adaptive batching
BentoML 1.2+ replaced the older Runner-based service API with class-based @bentoml.service/@bentoml.api; older tutorials using Runners won't match current syntax
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