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 Face RobertaForSequenceClassification weights
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.