Instructions to use uclanlp/plbart-single_task-java_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-java_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-java_en") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-java_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 966c77894599141e1d9c78b4045c07648e9509ff00b0bc8d228de7a8bde0963a
- Size of remote file:
- 557 MB
- SHA256:
- 7b28eb28f9bcecad48c73c4f998397110edfbf09b38e7aa67d7ebbf9fce9596e
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