DistilBERT
Collection
Smaller BERT models for question answering and text classification • 10 items • Updated
How to use Intel/distilbert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="Intel/distilbert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Intel/distilbert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa")
model = AutoModelForQuestionAnswering.from_pretrained("Intel/distilbert-base-uncased-squadv1.1-sparse-80-1x4-block-pruneofa", device_map="auto")No model card