This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.1.1 instead.
Reason given by maintainers: U8S8-quantized model saturates on x86-64 CPUs without VNNI (no NER spans). Use 0.1.1.
saklam-model-de-small
Mitgeliefertes NER-Modell für das Paket saklam:
der 82er-Kompakt-Student (12L-R2-heads, bodyq8_heads_fp32, 83,7 MiB) aus
der Saklam-NER-Grössenleiter.
Reine Datenauslieferung — kein Code, keine Abhängigkeiten. Wird von saklam
automatisch gefunden; ein manueller Import ist nicht nötig.
Nutzung nur mit gültigem Saklam-Lizenzschlüssel, siehe LICENSE und https://saklam.com.
Release files for saklam-model-de-small 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| saklam_model_de_small-0.1.0.tar.gz | 77.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| saklam_model_de_small-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 154.0 MB
Release files / saklam_model_de_small-0.1.0.tar.gz
| Download URL | saklam_model_de_small-0.1.0.tar.gz |
|---|---|
| Size | 77.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.11.14
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Release files / saklam_model_de_small-0.1.0-py3-none-any.whl
| Download URL | saklam_model_de_small-0.1.0-py3-none-any.whl |
|---|---|
| Size | 77.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.14
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