# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Maybe1407/diffusion_robustness_20ng")
model = AutoModelForMaskedLM.from_pretrained("Maybe1407/diffusion_robustness_20ng")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
The model is attached to the paper "How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?"
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maybe1407/diffusion_robustness_20ng")