Instructions to use Ayham/bert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/bert_gpt2_summarization_cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57b3b5aeae666a5861a71d71d0274abfd759a7fe2497d28ce6e7ac4a15af1f6b
- Size of remote file:
- 2.99 kB
- SHA256:
- 341cc372c0ed93413a69f69575ccb22318fcf315a8c1f1d471b9d60d23a17e9b
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