How to use AdamCodd/bart-large-xsum-samsum 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="AdamCodd/bart-large-xsum-samsum")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AdamCodd/bart-large-xsum-samsum") model = AutoModel.from_pretrained("AdamCodd/bart-large-xsum-samsum", device_map="auto")
https://huggingface.co/AdamCodd/bart-large-xsum-samsum/resolve/main/tokenizer.json
hf download hf://AdamCodd/bart-large-xsum-samsum/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/AdamCodd/bart-large-xsum-samsum/resolve/main/tokenizer.json
