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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7d03170f501eeafce6b5329ba3e97bd9db80a14cc3d1edcbf86d39044bf02b4
- Size of remote file:
- 2.44 GB
- SHA256:
- 076d472321df30d3a901e1112a47fc000ff6f3e2df4866af72ce2df391968bcd
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