Transformers How to use AlgorithmicResearchGroup/led_base_16384_arxiv_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="AlgorithmicResearchGroup/led_base_16384_arxiv_summarization") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("AlgorithmicResearchGroup/led_base_16384_arxiv_summarization")
model = AutoModelForSeq2SeqLM.from_pretrained("AlgorithmicResearchGroup/led_base_16384_arxiv_summarization", device_map="auto") 
ArtifactAI +1: SFconvertbot - Adding `safetensors` variant of this model (dcce422b96c39af64699663802467c92ca2ab008) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>904a89c