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:
- d3d92654831f62d33dead3e42c1f9f8629a45cc523cb28ca40673e8784dffa26
- Size of remote file:
- 496 MB
- SHA256:
- adeb720df850151ba963293c94b7cf8baa672095f397cf43b7a36c00d531d665
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