Instructions to use ARTeLab/mbart-summarization-fanpage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ARTeLab/mbart-summarization-fanpage 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="ARTeLab/mbart-summarization-fanpage")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ARTeLab/mbart-summarization-fanpage") model = AutoModelForSeq2SeqLM.from_pretrained("ARTeLab/mbart-summarization-fanpage") - Notebooks
- Google Colab
- Kaggle
🚩 Report: Legal issue(s)
#3
by brunatrevelin HF Staff - opened
Model might be using personal data subject to GDPR/erasure requests. You can contact us at privacy@huggingface.co for any further details.