Instructions to use roykim/Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roykim/Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roykim/Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("roykim/Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d00065485da806f8b5872f42588eaafa87dce3a023246a3f760d6c11f72bb4c
- Size of remote file:
- 3.5 kB
- SHA256:
- ccb6c58ad85c6302cbcc0ea2d49c40e211911e0bcc1dfc125087695e4f753b0c
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