Instructions to use uclanlp/plbart-cs-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-cs-java with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-cs-java") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-cs-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from uclanlp/plbart-cs-java: direct link, hf CLI and curl.
- Browser
- Download file 26 Bytes
-
https://huggingface.co/uclanlp/plbart-cs-java/resolve/ca175ce02748073c8b3813d6fe2aa1856ce9dabe/tokenizer_config.json
- Command line
-
hf download hf://uclanlp/plbart-cs-java@ca175ce02748073c8b3813d6fe2aa1856ce9dabe/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/uclanlp/plbart-cs-java/resolve/ca175ce02748073c8b3813d6fe2aa1856ce9dabe/tokenizer_config.json
26 Bytes
| {"model_max_length": 1024} |