EdinburghNLP/xsum
Viewer • Updated • 227k • 19.5k • 147
How to use leduytan0706/bart-large-cnn-xsum with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" 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("summarization", model="leduytan0706/bart-large-cnn-xsum") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("leduytan0706/bart-large-cnn-xsum")
model = AutoModelForSeq2SeqLM.from_pretrained("leduytan0706/bart-large-cnn-xsum")# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("leduytan0706/bart-large-cnn-xsum")
model = AutoModelForSeq2SeqLM.from_pretrained("leduytan0706/bart-large-cnn-xsum")Base model
facebook/bart-large-cnn
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="leduytan0706/bart-large-cnn-xsum")