Transformers How to use skripsi-summarization-1234/pegasus-large-finetuned-xlsum-summarization 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="skripsi-summarization-1234/pegasus-large-finetuned-xlsum-summarization") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("skripsi-summarization-1234/pegasus-large-finetuned-xlsum-summarization")
model = AutoModelForSeq2SeqLM.from_pretrained("skripsi-summarization-1234/pegasus-large-finetuned-xlsum-summarization", device_map="auto") 
