---
license: apache-2.0
tags:
- text-classification
- hate-speech-detection
- transformers
- pytorch
- privhsd
- glimo
pipeline_tag: text-classification
---

# batinium/glimo-dehatebert-hsd

Fine-tuned DeHateBERT-style classifier developed during the PrivHSD Challenge
for harmful or hate speech detection in the Glimo privacy-preserving pipeline.

- Base model: `Hate-speech-CNERG/dehatebert-mono-english`
- Default decision threshold: `0.850469`
- Intended use: research, moderation assistance, admin triage, and pipeline
  scoring.
- Not intended use: fully automated enforcement without human review.

## Data Statement

Do not publish private challenge samples, raw admin uploads, or generated
outputs containing private source text in this repository.

## Limitations

The classifier can produce false positives and false negatives, especially for
dialectal language, reclaimed terms, counterspeech, quoted speech, contextual
ambiguity, and emerging coded language. Model outputs and restatements require
human/admin review before consequential action.

## Usage

```python
from transformers import pipeline

clf = pipeline("text-classification", model="batinium/glimo-dehatebert-hsd")
print(clf("The comment uses abusive language toward a protected group."))
```