Instructions to use claudios/plbart-java-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/plbart-java-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/plbart-java-cs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/plbart-java-cs") model = AutoModel.from_pretrained("claudios/plbart-java-cs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d56aa5d68cfaa564d7356e3ed495ca56cb3b214205eebcc8f0294e6aec971d3
- Size of remote file:
- 557 MB
- SHA256:
- aa4c778b6a3e5d60b767ecdbdc0ad7a15c9c646441821a70d9978e1dbf09393a
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