Instructions to use a1noack/bart-large-gigaword with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a1noack/bart-large-gigaword 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="a1noack/bart-large-gigaword")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("a1noack/bart-large-gigaword", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20ec0e5af2b9048e1e634ba21e1aaf09207531cc1d119f21fc05116c0a1a84e0
- Size of remote file:
- 1.63 GB
- SHA256:
- 104f41a4dc66fe17c52db937f83a66d675b2063c432601f1be9706e532397121
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