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:
- 831515f4a88a33bdefaa61de13f97e0d79eabbe91c120889f6d4d7bedb23172d
- Size of remote file:
- 1.14 GB
- SHA256:
- b27d4c870311c69c1df8197af0f3cb35ba69b254765eb830c98f5ad62341c73c
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