Instructions to use facebook/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large") model = AutoModel.from_pretrained("facebook/bart-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd9d0bb7807a5b6cc808e3fca5a8a0d38cada5da4c1edebb9bebb49b919984f6
- Size of remote file:
- 1.63 GB
- SHA256:
- 67c489535bedbf034572b8a068eaf9b0c9390ecec605966d1df629c94d05a70e
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