mammos-ai
mammos-ai provides ...
| Description | Badge |
|---|---|
| Tests |  |
| Linting |  |
| Releases |   |
| Documentation |  |
| Binder |  |
| License |  |
| DOI | TODO |
Try it in the cloud
Try mammos-ai without installing it locally by directly accessing it directly in the cloud
via Binder.
Simply click the badge in the table above to get started.
Sessions are temporary and may time out after a period of inactivity, and any files created or modified during your session will not be saved. To avoid losing your work, please remember to download any files you create or edit before your session ends.
Documentation
APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.
Installation
To install mammos-ai, you can use pip install mammos-ai inside a Python environment.
For more details refer to the documentation.
Model files
mammos-ai downloads ONNX model files from the public Hugging Face model
repository mammos-project/mammos-ai-models
using huggingface_hub. The files are cached locally by Hugging Face Hub after
the first download. For information about e.g. cleaning the cache, refer to the
Hugging Face Hub documentation.
How to cite
TODO
Acknowledgements
This software has been supported by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101135546 MaMMoS.
Metadata
Release files for mammos-ai 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mammos_ai-0.3.0.tar.gz | 19.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mammos_ai-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.0 kB
Release files / mammos_ai-0.3.0.tar.gz
| Download URL | mammos_ai-0.3.0.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
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Provenance
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Signed by GitHub Actions, verified by PyPI on Jul 31, 2026.
Transparency logRelease files / mammos_ai-0.3.0-py3-none-any.whl
| Download URL | mammos_ai-0.3.0-py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Jul 31, 2026.
Transparency log
