# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("smallbenchnlp/roberta-small")
model = AutoModelForMaskedLM.from_pretrained("smallbenchnlp/roberta-small")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Small-Bench NLP is a benchmark for small efficient neural language models trained on a single GPU.
- Downloads last month
- 63
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="smallbenchnlp/roberta-small")