Instructions to use Awesome075/pegasus-large-wcep10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Awesome075/pegasus-large-wcep10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Awesome075/pegasus-large-wcep10") model = AutoModelForSeq2SeqLM.from_pretrained("Awesome075/pegasus-large-wcep10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06d58775d4ef4e66c463ccafa822ad1e0a360708a9980108bc46c70e1ad8c5a4
- Size of remote file:
- 3.07 GB
- SHA256:
- 94a2cad8ee46272fc967a03502e95cf56695386b207fbaeaf991f5c31f4be3a9
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