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