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:
- f09fc48e602f604390c619331b77c3edcb9dc872c2d3ece8cce635ac95c550ef
- Size of remote file:
- 558 MB
- SHA256:
- 7ed6459d5365fb22f77ab71e7b27b1ff13fde4752d5600b449a1c1ad782bd286
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