regisss

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bert-pretraining-gaudi-2-batch-size-64

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

pipe = pipeline("fill-mask", model="regisss/bert-pretraining-gaudi-2-batch-size-64")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-64")
model = AutoModelForMaskedLM.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-64")