Instructions to use ssgplabon/pegasus-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssgplabon/pegasus-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ssgplabon/pegasus-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("ssgplabon/pegasus-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b45050bae2fe1ed59af903819d495dcf484b2eec6374bcd0d7ff346b838489f
- Size of remote file:
- 3.58 kB
- SHA256:
- 6b484c26b118779eb632a89e8804c3a1dec494d58293eff7c829d99dd9657c80
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