How to use AlgorithmicResearchGroup/led_large_16384_billsum_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_large_16384_billsum_summarization")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AlgorithmicResearchGroup/led_large_16384_billsum_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("AlgorithmicResearchGroup/led_large_16384_billsum_summarization", device_map="auto")
https://huggingface.co/AlgorithmicResearchGroup/led_large_16384_billsum_summarization/resolve/refs%2Fpr%2F4/tokenizer.json
hf download hf://AlgorithmicResearchGroup/led_large_16384_billsum_summarization@refs/pr/4/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/AlgorithmicResearchGroup/led_large_16384_billsum_summarization/resolve/refs%2Fpr%2F4/tokenizer.json
