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parliamentary-bertimbau-auditor
alissonf216/parliamentary-bertimbau-auditor
parliamentary-bertimbau-auditor is a text classification model from alissonf216. Use it when you need a label for a piece of text. The card lists the license as mit.
Fine-tuned neuralmind/bert-base-portuguese-cased for 4-class offensive / hate-speech detection in Brazilian parliamentary discourse.
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 31, 2026
- Updated
- Jul 31, 2026
- SHA
- 4440cfb3
Model card
From the Hugging Face model README
Parliamentary BERTimbau Auditor
Fine-tuned neuralmind/bert-base-portuguese-cased for 4-class offensive / hate-speech detection in Brazilian parliamentary discourse.
Labels
| id | label |
|---|---|
| 0 | NEUTRAL |
| 1 | GENERIC_OFFENSE |
| 2 | TARGETED_OFFENSE |
| 3 | EXPLICIT_HATE_SPEECH |
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
repo = "parliamentary-bertimbau-auditor" # or your HF repo id
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForSequenceClassification.from_pretrained(repo)
text = "Senhor presidente, peço a palavra."
inputs = tok(text, return_tensors="pt", truncation=True, max_length=128)
with torch.no_grad():
probs = torch.softmax(model(**inputs).logits, dim=-1)[0]
pred = int(probs.argmax())
print(model.config.id2label[pred], float(probs[pred]))
Best validation Macro-F1 (this run): 0.3970
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- pt
- Created
- Jul 31, 2026
- Updated
- Jul 31, 2026