Serigy-Jev
Classificador local de fake news em PT-BR. Carrega pesos do Hub e faz predict.
pip install serigy-jev
from serigy_jev import SerigyJev
model = SerigyJev("wendellperbar/serigy-jev")
out = model.predict(
"Senado aprova lei que PROÍBE jogo de videogame para menores de 18 anos."
)
print(out["predicao"], out["score_final"], out["confianca_calibrada"])
serigy-jev --texto "texto da notícia..."
Se o sensor for gated, configure HF_TOKEN.
Saída
| Campo | Significado |
|---|---|
predicao |
Claramente Falso / Incerto/Misto / Claramente Verdadeiro |
classe_ordinal |
0, 1 ou 2 |
score_final |
veracidade 0.0…1.0 |
confianca_calibrada |
perto de 1 = mais concentrado |
probabilidades |
massa em cada classe |
Pesos: huggingface.co/wendellperbar/serigy-jev
MIT — Copyright © 2026 Wendell Barreto.
1 maintainer
Release files for serigy-jev 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| serigy_jev-0.1.2.tar.gz | 38.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| serigy_jev-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.4 kB
Release files / serigy_jev-0.1.2.tar.gz
| Download URL | serigy_jev-0.1.2.tar.gz |
|---|---|
| Size | 38.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
60afd195c61d69a82589f741136515bc122a1e3d253288cd6a4240f4226dcb51
|
|
BLAKE2b-256 checksum How to use checksums |
811dd464bd279bb63914f89fd1e938962ac0ccf9a2b3b49f6b1778fc342bf46a
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / serigy_jev-0.1.2-py3-none-any.whl
| Download URL | serigy_jev-0.1.2-py3-none-any.whl |
|---|---|
| Size | 37.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1dcc4176ac9182ab1f6ad56102efafe33f38f39760093926a420db8511840739
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BLAKE2b-256 checksum How to use checksums |
a7c6b6b320dacc00e0aff21a44b514073228d9cec6274e2733c50f1736360181
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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
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 25, 2026.
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