Instructions to use pbedmar/pegasus-neutralization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbedmar/pegasus-neutralization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pbedmar/pegasus-neutralization") model = AutoModelForSeq2SeqLM.from_pretrained("pbedmar/pegasus-neutralization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b179da4039c9a5977faf312020b2e97ced4cd7cf9ea85ef44323fdbddb7b8f2e
- Size of remote file:
- 5.5 kB
- SHA256:
- 51ae3e3808e2c94fc4b7a1a7abc903b06d2f1657e4635756e95052b7ff42b597
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