How to use nytkng/distilbart_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="nytkng/distilbart_summarization")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nytkng/distilbart_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("nytkng/distilbart_summarization", device_map="auto")
https://huggingface.co/nytkng/distilbart_summarization/resolve/main/README.md
hf download hf://nytkng/distilbart_summarization/README.md
curl -L -o README.md https://huggingface.co/nytkng/distilbart_summarization/resolve/main/README.md
datasets: - samsum language: - en tags: - summarization - samsum - finetuned
