legacy-datasets/wikipedia
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How to use hitachi-nlp/roberta-base_mlm_acl2023 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="hitachi-nlp/roberta-base_mlm_acl2023") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("hitachi-nlp/roberta-base_mlm_acl2023")
model = AutoModelForMaskedLM.from_pretrained("hitachi-nlp/roberta-base_mlm_acl2023", device_map="auto")This is the pretrained model of MLM. Please refer to our GitHub page for more details.