onnx-genai-example-wav2vec2-base-960h-ctc

onnx-genai-example-wav2vec2-base-960h-ctc

Private real-weight ONNX package produced by Mobius from facebook/wav2vec2-base-960h at immutable revision 22aad52d435eb6dbaf354bdad9b0da84ce7d6156. Source license: apache-2.0.

Contents

• Canonical, hashless inference_metadata.yaml
• ONNX graphs and external-data weights
• Complete tokenizer/processor assets
• request.json and output.json real runtime evidence
• graph_report.json, performance.json, source.json, and provenance.json

Observed output: MISTER QUILTER IS THE APOSTLE OF THE MIDDLE CLASSES AND WE ARE GLAD TO WELCOME HIS GOSPEL

Exact download

hf download justinchuby/onnx-genai-example-wav2vec2-base-960h-ctc --repo-type model --local-dir ./wav2vec2-base-960h-ctc

ONNX Runtime load smoke test

python - <<'PY'
from pathlib import Path
import onnxruntime as ort

root = Path("wav2vec2-base-960h-ctc")
for relative_path in ['model.onnx']:
    session = ort.InferenceSession(
        str(root / relative_path),
        providers=['CPUExecutionProvider'],
    )
    print(relative_path, session.get_providers(), [x.name for x in session.get_inputs()])
PY

The exact successful probe request, output, versions, providers, and timings are preserved in request.json, output.json, and performance.json.

<!-- inference-metadata-annotation:start -->

Annotated inference metadata

Review inference_metadata.annotated.yaml for inline explanations of this package's workflow, tensor/state/cache contracts, and fail-closed omissions. inference_metadata.yaml remains the canonical machine-authored contract; automated validation confirms both files parse to the same metadata object.

<!-- inference-metadata-annotation:end -->