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:
# 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 pytorch_model.bin 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%2F1/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-java-cs@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-java-cs/resolve/refs%2Fpr%2F1/pytorch_model.bin
557 MB
- Xet hash:
- be3e7badd0dcf083841c742ec30964bd2076d841e03d5c7ffacc8aecb77d7091
- Size of remote file:
- 557 MB
- SHA256:
- 3ec190b7f6d4309145a3bc4bdbcdc4998a25be638ac9ecccef7037b458abe4d5
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