Instructions to use Ashima/bart_large_keyword_augmented_wp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashima/bart_large_keyword_augmented_wp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ashima/bart_large_keyword_augmented_wp") model = AutoModelForSeq2SeqLM.from_pretrained("Ashima/bart_large_keyword_augmented_wp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4324db89328f97382f7f461c3456f222015c5dd1f0a6edc2bb3d8c984fbb4fd2
- Size of remote file:
- 1.63 GB
- SHA256:
- 0bc78ca2444b1994a0e65cbf1f4f5c74dbefc30dfc3a142e4ffe99df6c9b8cb0
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