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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from uclanlp/plbart-single_task-java_en: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-single_task-java_en/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://uclanlp/plbart-single_task-java_en@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/uclanlp/plbart-single_task-java_en/resolve/refs%2Fpr%2F1/model.safetensors
557 MB
- Xet hash:
- 966c77894599141e1d9c78b4045c07648e9509ff00b0bc8d228de7a8bde0963a
- Size of remote file:
- 557 MB
- SHA256:
- 7b28eb28f9bcecad48c73c4f998397110edfbf09b38e7aa67d7ebbf9fce9596e
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