codira-embedding-onnx
First-party native ONNX Runtime embedding engine plugin for Codira.
The package publishes the onnx engine through the
codira.embedding_engines entry-point group. Model artifacts are not bundled;
operators provision an ONNX model file and tokenizer file explicitly.
Long inputs are truncated before ONNX Runtime inference. The default limit is
max_tokens = 512, matching the common fixed sequence length used by BERT-style
embedding exports. Dynamic-shape or longer-context ONNX exports can override the
limit through repository, user, or system config:
[plugins.embedding-onnx]
max_tokens = 512
Set max_tokens = 0 only for ONNX exports that are known to accept arbitrary
sequence lengths. Changing max_tokens changes vectors for over-limit texts, so
bump [embeddings].version when changing it for an existing index.
Metadata
Release files for codira-embedding-onnx 1.55.0
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Source distribution (sdist)
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| codira_embedding_onnx-1.55.0.tar.gz | 10.2 kB | Without provenance | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| codira_embedding_onnx-1.55.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / codira_embedding_onnx-1.55.0.tar.gz
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