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laser-edit-toxicity-energy
hayleyson/laser-edit-toxicity-energy
laser-edit-toxicity-energy is a text classification model from hayleyson. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
RoBERTa-base energy / classifier checkpoint used by LaSEr Edit for toxicity avoidance locate and EBM edit.
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.safetensors499 MB · 99%
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Model card
From the Hugging Face model README
LaSEr Edit — Toxicity Energy Model
RoBERTa-base energy / classifier checkpoint used by LaSEr Edit for toxicity avoidance locate and EBM edit.
License
Released under MIT.
Upstream components (for attribution / awareness):
- Base weights:
roberta-base(MIT) - Training data: Jigsaw Unintended Bias in Toxicity Classification (CC0)
Usage
from transformers import AutoModelForSequenceClassification, AutoTokenizer
repo = "hayleyson/laser-edit-toxicity-energy"
model = AutoModelForSequenceClassification.from_pretrained(repo)
tokenizer = AutoTokenizer.from_pretrained(repo)
Files
model.safetensors,config.json— Hugging FaceRobertaForSequenceClassificationweights- tokenizer files (
vocab.json,merges.txt, …) classification_threshold.json— optional decision threshold file determined by optimizing a classification performance metric (e.g., precision, F1, recall) on the validation dataset; not used in the LaSEr-Edit paper
Training notes
For training details, please refer to the LaSEr-Edit paper: LaSEr-Edit: Localized Span-level Error Editing with Energy-based Localization.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026