Instructions to use rooftopcoder/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/tst-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/tst-summarization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3746dd8a3e8324aae6d11d605086fe102434ac104f7eceaa2afd3b9c94b28cd
- Size of remote file:
- 3.76 kB
- SHA256:
- b7a1c45dff495df70a19b6a8f1da8e348c699ac0532911efe0429351936f44a6
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