Instructions to use Ayham/roberta_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/roberta_bert_summarization_cnn_dailymail with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/roberta_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/roberta_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ayham/roberta_bert_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Ayham/roberta_bert_summarization_cnn_dailymail/resolve/main/training_args.bin
- Command line
-
hf download hf://Ayham/roberta_bert_summarization_cnn_dailymail/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ayham/roberta_bert_summarization_cnn_dailymail/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- bf2cae866956971c6be5a41ffdc3a996e396890d0e616449194d9ac8a9b2ef56
- Size of remote file:
- 2.99 kB
- SHA256:
- 372be08c1721b553584a282c9bad841559b40bdbe71d29bc12db01ae5f7f6d26
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