# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("hyesunyun/NonsenseUpdateDiffStringBart")
model = AutoModelForSeq2SeqLM.from_pretrained("hyesunyun/NonsenseUpdateDiffStringBart")Quick Links
YAML Metadata Error:"datasets[0]" with value "nonsense corpus" is not valid. If possible, use a dataset id from https://hf.co/datasets.
hello! this is the pretrained BART. The dataset used for pretraining is nonsense summary corpus with output as diff.
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# 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="hyesunyun/NonsenseUpdateDiffStringBart")