Instructions to use Xcz2568/robustness_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xcz2568/robustness_bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Xcz2568/robustness_bart") model = AutoModelForSeq2SeqLM.from_pretrained("Xcz2568/robustness_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Xcz2568/robustness_bart: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Xcz2568/robustness_bart/resolve/main/training_args.bin
- Command line
-
hf download hf://Xcz2568/robustness_bart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Xcz2568/robustness_bart/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 86a23d63349f890cf8b77bf576a789f0263da4ebb516208d3f7c851604ae15d9
- Size of remote file:
- 5.05 kB
- SHA256:
- 5ab5e6d1a861e6c399d3f1cb10505d4671ed4ab305f11801e6794262840abde4
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