Instructions to use NTUYG/SOTitle-java-BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTUYG/SOTitle-java-BART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NTUYG/SOTitle-java-BART") model = AutoModelForSeq2SeqLM.from_pretrained("NTUYG/SOTitle-java-BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NTUYG/SOTitle-java-BART: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/NTUYG/SOTitle-java-BART/resolve/main/training_args.bin
- Command line
-
hf download hf://NTUYG/SOTitle-java-BART/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NTUYG/SOTitle-java-BART/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 93935fed042960751dce4bd05c0febbc817dd29b4cb87251826208991fdd8b15
- Size of remote file:
- 2.99 kB
- SHA256:
- 3b4e0726acd6192d6c8abc13417d2b0d63d26e54f0b0c6904c80f118fa221e36
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