Instructions to use Ayham/bert_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_bert_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_bert_summarization_cnn_dailymail") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c86b49974114ee3067959d887192427d2ba3cc3b96d852f48ba88e8d39494775
- Size of remote file:
- 2.99 kB
- SHA256:
- 7592606ad86d124ed97cec43e2f0471b5e15ea70398e0288378525db4717efac
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