Instructions to use facebook/bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/bart-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base") model = AutoModel.from_pretrained("facebook/bart-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0f8134343cb241a14e2fbebc8ff53f12faf1e8ab2e0d27bff0d44b2ac561ed0
- Size of remote file:
- 558 MB
- SHA256:
- 1bd3ac8e5b3ac71c77cf18fbcd8b113e0bfceced94c5cfbbb9a2b4bb4781190b
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