paperus-ml
Machine learning service of paperus: text embeddings for search by meaning, with ONNX Runtime on the CPU. Models are downloaded from Hugging Face on first use and unloaded when idle.
pip install paperus-ml
PAPERUS_ML_TOKEN=… paperus-ml --host 0.0.0.0 # port 3003
Settings are environment variables:
| Variable | Default | Meaning |
|---|---|---|
PAPERUS_ML_TOKEN |
none | Shared secret; requests need Authorization: Bearer <token> |
PAPERUS_ML_CACHE_PATH |
~/.cache/paperus-ml |
Downloaded models |
PAPERUS_ML_PRELOAD |
[] |
Models to load at start and keep, e.g. ["arctic-embed-m-v2"] (paperus then sends the one in use) |
PAPERUS_ML_MODEL_TTL |
300 |
Unload other models after this many idle seconds (0: never) |
PAPERUS_ML_INTRA_OP_THREADS |
0 |
CPU cores per model at start (0: all it sees); paperus' administration sets it afterwards |
PAPERUS_ML_MAX_BATCH_TEXTS / _TOKENS |
32 / 16384 |
Batch size (memory grows with both) |
paperus sends its settings with PUT /config (cores, models to keep
loaded). One batch runs at a time per model, using all its cores; simultaneous
requests take turns batch by batch.
Most installations use the paperus-ml container image instead. Status:
early version (0.0.x); expect breaking changes.
1 maintainer
Metadata
1 maintainer
Release files for paperus-ml 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| paperus_ml-0.0.10.tar.gz | 13.4 kB | With provenance | Details for paperus_ml-0.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| paperus_ml-0.0.10-py3-none-any.whl | Python 3 | none | any | Details for paperus_ml-0.0.10-py3-none-any.whl |
Total release size: 29.5 kB
Release files / paperus_ml-0.0.10.tar.gz
| Download URL | paperus_ml-0.0.10.tar.gz |
|---|---|
| Size | 13.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c76a876c58b6c85ebbaa6be9e1abfa0112deab1f1e766ede9be65313974d7da3
|
|
BLAKE2b-256 checksum How to use checksums |
d793a9e4ad8529618e8ed488ecf4399c4f5400edd49d4fa7cd918389942dd6eb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 6, 2026.
Transparency logRelease files / paperus_ml-0.0.10-py3-none-any.whl
| Download URL | paperus_ml-0.0.10-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e1b7c72226e411e35907d0d37ff943d3b03d1d795af4d6f517eb3a16cd086f62
|
|
BLAKE2b-256 checksum How to use checksums |
4df62b219437a9edfdb2369e73970704b3450e5f13f3fca732e2bec36898ffdb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 6, 2026.
Transparency logSecurity for paperus-ml 0.0.10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for paperus_ml-0.0.10.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 6, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
