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:
# pip install -U transformers accelerate # 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
Download training_args.bin from Ayham/bert_roberta_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/bert_roberta_summarization_cnn_dailymail/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/bert_roberta_summarization_cnn_dailymail/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/bert_roberta_summarization_cnn_dailymail/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- c6b8904c517960a1f443fdf8f48ae12daec5d1d8e2b21ebd737b9bf1e5c175d0
- Size of remote file:
- 2.99 kB
- SHA256:
- b73845f665d15d298e400bbd4509a81eeb52cc3da64052dd9bf6082b1feb66cc
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