Instructions to use Ayham/albert_roberta_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_roberta_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_roberta_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_roberta_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d588111e8541bff673244dc19e4e0d4fd0522bb8fd1e468ae197189c350daca4
- Size of remote file:
- 659 MB
- SHA256:
- 573fd225af8d9ca0cc8533cba1da3336f3b75333e852e774ae87618c4204db7f
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