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Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference • 16 items • Updated
How to use senfu/bert-base-uncased-top-pruned-mnli with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="senfu/bert-base-uncased-top-pruned-mnli") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("senfu/bert-base-uncased-top-pruned-mnli")
model = AutoModelForSequenceClassification.from_pretrained("senfu/bert-base-uncased-top-pruned-mnli")No model card