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:
- 16a5350614e31008ae682e9354036692cf6b3b189b3ecd429bd7c1480e9202be
- Size of remote file:
- 990 MB
- SHA256:
- 0b3759eba6566d67770c4ded46f8b413fa0c70ac01f9fb685a37342233e7a2e6
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