Instructions to use uclanlp/plbart-refine-java-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-refine-java-medium with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-refine-java-medium") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-refine-java-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-refine-java-medium: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-refine-java-medium/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-refine-java-medium/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-refine-java-medium/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 5d86dd96f8e9ac8b2127db90530ce3ccaadcfae07567543103df6bb241a0bf91
- Size of remote file:
- 557 MB
- SHA256:
- 6403609049f773d5f886068c19c1e821b03db23b574a6e977fe2dd2ec6b7bb38
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