Instructions to use Ayham/roberta_gpt2_summarization_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/roberta_gpt2_summarization_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/roberta_gpt2_summarization_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/roberta_gpt2_summarization_xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8d115d579603f5866c651211d4a04dfc114db87b705c6764153a5241c074747
- Size of remote file:
- 2.99 kB
- SHA256:
- d17662817294c6c62da52aa68b8cd1607bfeeb4fe09aa0cb7dbb72b0eb5d270f
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