Instructions to use uclanlp/plbart-multi_task-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-java with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-java") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from uclanlp/plbart-multi_task-java: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-java/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://uclanlp/plbart-multi_task-java@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/uclanlp/plbart-multi_task-java/resolve/refs%2Fpr%2F1/model.safetensors
557 MB
- Xet hash:
- a0e4b737ebcf7eae31310d1077e1e566aa9a725e54c1678f86f80a3fd48818e7
- Size of remote file:
- 557 MB
- SHA256:
- f75fd249d358919f3f12d44f24f1ed615dbfa8ef159010b1a444c534863db591
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