Instructions to use stas/pegasus-cnn_dailymail-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stas/pegasus-cnn_dailymail-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stas/pegasus-cnn_dailymail-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("stas/pegasus-cnn_dailymail-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b539ba34429b0e4f61d9c600f3b6650d8501affd11ad138b342d7bf29631bfc4
- Size of remote file:
- 1.23 MB
- SHA256:
- 170d2a8b3c7499cdc5abe22abda269ccd3020bf1e5571e1f53364b11d4bd601d
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