Instructions to use uclanlp/plbart-java-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-java-cs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-java-cs") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-java-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from uclanlp/plbart-java-cs: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-java-cs/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://uclanlp/plbart-java-cs@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/uclanlp/plbart-java-cs/resolve/refs%2Fpr%2F2/model.safetensors
557 MB
- Xet hash:
- 2b37aa0ec6e553befb0c9536f42820beeba39a5883289932edfce2c8b781f3d0
- Size of remote file:
- 557 MB
- SHA256:
- c3d4cf076443a04c5bcf2fe35df36a474a11f96498e1d37f175e16992c8668b0
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