Instructions to use Pavan48/bart-base-cnn-dailymail_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pavan48/bart-base-cnn-dailymail_256 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="Pavan48/bart-base-cnn-dailymail_256")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Pavan48/bart-base-cnn-dailymail_256") model = AutoModelForSeq2SeqLM.from_pretrained("Pavan48/bart-base-cnn-dailymail_256") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 570e4842e1daeed038328b45a73e83ee3c1c195e352fc2d58e128e5694c4feb4
- Size of remote file:
- 558 MB
- SHA256:
- fb1854bc42335af573a0e32d6bf2bf5329e94978dcf44863c5d28675082b2459
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