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[workflow action package]

@beam/predict-transformers

Hugging Face transformers models

Loads a Hugging Face transformers model once (safetensors) and serves what its architecture does: text classification (one text or a CSV), image classification, or chat and text generation streamed token by token. CPU in a container; the Metal GPU of a Mac (PyTorch MPS) through the host runtime.

ExternalActiveValidatedHippius artifactpredicttextimagechattransformershuggingfaceclassification

Trust

External

Placements

3

Permissions

-

Versions

2

[package identity]

Details

Identity and execution metadata for the latest version.

Package
@beam/predict-transformers
Repository
-
Author
beam
Category
ml
API version
workflow-actions/v2
Latest tag
latest -> 0.2.2
Task mode
single-worker
Default placement
external-workers
Visibility
Public
Published
Nov 12, 2026, 5:48 AM
Updated
11/12/2026

[workflow reference]

Use in a workflow

Drop this into a workflow definition to reference the action.

{
  "actionPackageName": "@beam/predict-transformers",
  "actionVersionRange": "^0.2.2",
  "config": {},
  "inputBindings": {}
}

[developer tooling]

CLI

Publish and resolve packages from a local development environment.

beam-registry publish . --tag latest
curl "https://api.lab.b3m.dev/registry/v1/resolve/%40beam/predict-transformers?range=latest"