Instructions to use MohamedHesham/bart_large_subset_cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedHesham/bart_large_subset_cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MohamedHesham/bart_large_subset_cnn") model = AutoModelForSeq2SeqLM.from_pretrained("MohamedHesham/bart_large_subset_cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 156d00d251c3f7e0fb96040e115ddb822941cf63faa28f35c95cb79d60782c6b
- Size of remote file:
- 1.63 GB
- SHA256:
- ba8f0744ec99cac543d55b2b687b1890b75937eb8013b047f405d3363bc63d3d
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