Instructions to use byeongal/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byeongal/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="byeongal/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("byeongal/bart-large") model = AutoModel.from_pretrained("byeongal/bart-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a3c757d1b7cc813d88fea8a0b875c7448749084f6a83cce90e6474b1f11b6d0
- Size of remote file:
- 1.63 GB
- SHA256:
- 12dba5f8baaba2e21a006fb865fbd3e12a2d25d3fe956d93d47907581f98e3db
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