| --- |
| 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| Do not publish private challenge samples, raw admin uploads, or generated |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.")) |
| ``` |
|
|
