Instructions to use sibyl/BART-large-commongen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sibyl/BART-large-commongen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sibyl/BART-large-commongen") model = AutoModelForSeq2SeqLM.from_pretrained("sibyl/BART-large-commongen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sibyl/BART-large-commongen: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/sibyl/BART-large-commongen/resolve/main/training_args.bin
- Command line
-
hf download hf://sibyl/BART-large-commongen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sibyl/BART-large-commongen/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- 0f1e4bbda2b1e7b172f3172d743d22c7b4c6d2b8e85996aed731da1869df224d
- Size of remote file:
- 2.74 kB
- SHA256:
- 703d6b1b5bb420bf93fc87d8862790d0fde2264a87ca44b4bd4d4a4e796d2e4d
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