# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("smallbenchnlp/bert-small")
model = AutoModelForMaskedLM.from_pretrained("smallbenchnlp/bert-small")Quick Links
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Small-Bench NLP is a benchmark for small efficient neural language models trained on a single GPU.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="smallbenchnlp/bert-small")