Skylion007/openwebtext
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How to use kuleshov-group/proseco-owt with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="kuleshov-group/proseco-owt", trust_remote_code=True) # Load model directly
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained("kuleshov-group/proseco-owt", trust_remote_code=True, dtype="auto")To use this models, follow the snippet below:
from transformers import AutoModelForMaskedLM
# model_config_overrides = {} # Use this to optionally override config parameters
model = AutoModelForMaskedLM.from_pretrained(
"kuleshov-group/proseco-owt",
trust_remote_code=True,
# **model_config_overrides,
)
Skylion007/openwebtextSee the paper for full details
@article{
schiff2026learn,
title={Learn from Your Mistakes: Self-Correcting Masked Diffusion Models},
author={Schiff, Yair and Belhasin, Omer and Uziel, Roy and Wang, Guanghan and Arriola, Marianne and Turok, Gilad and Elad, Michael and Kuleshov, Volodymyr},
journal={arXiv preprint arXiv:2602.11590},
year={2026}
}