simonmun

/

COHA1810s

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="simonmun/COHA1810s")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1810s")
model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1810s")