Instructions to use leadingbridge/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leadingbridge/summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leadingbridge/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("leadingbridge/summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6358d21ecc29d1b760163d1f5d13142875215a184c1f14dfc553fbfe67f6457f
- Size of remote file:
- 2.33 GB
- SHA256:
- 38bba101d5f716fc429d5596ec2183ebc74b7b0fd64e99b4bc4ca38f86011305
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