Instructions to use bbunijieun/cnn_summarization_tr_args with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbunijieun/cnn_summarization_tr_args with Transformers:
# Load model directly from transformers import Transformer model = Transformer.from_pretrained("bbunijieun/cnn_summarization_tr_args", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6af7f2029530e50fb33f60c4d3ad7f638b667703afd7f719da02b4dc95334396
- Size of remote file:
- 5.24 kB
- SHA256:
- e8f26a281e400658b63f7e44abd7a0799d427130400825ba111c7a051c63db73
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