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:
- 33bfaed9fe4d636720fc40d0839d53b55181b229776f1c1a85b4f13109ea0a4e
- Size of remote file:
- 4.08 kB
- SHA256:
- b9329d18fc500d97e6dfca2361062a5a23c36f546f8a99bb35fc2a8f7f80f636
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