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:
- 6b53b024929bc5cdb2643b7439641782aa2e8193f630b148e9d9bff2041455f6
- Size of remote file:
- 1.05 GB
- SHA256:
- 549f6d81a3a76823d35b65f4fbf67f70892dd974398a374caf9da0276d82f3d1
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