Instructions to use Ayham/bert_roberta_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_roberta_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_roberta_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_roberta_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b8904c517960a1f443fdf8f48ae12daec5d1d8e2b21ebd737b9bf1e5c175d0
- Size of remote file:
- 2.99 kB
- SHA256:
- b73845f665d15d298e400bbd4509a81eeb52cc3da64052dd9bf6082b1feb66cc
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