Instructions to use Nara-Lab/nallm-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nara-Lab/nallm-bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nara-Lab/nallm-bart") model = AutoModelForSeq2SeqLM.from_pretrained("Nara-Lab/nallm-bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Nara-Lab/nallm-bart: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Nara-Lab/nallm-bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Nara-Lab/nallm-bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Nara-Lab/nallm-bart/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- b9c31df93c8eda027bc4b620d020f9b954ff37263e757457b75676b15dc7d718
- Size of remote file:
- 496 MB
- SHA256:
- 6779fcea5fcf0152f96e5566a08b99c79f75aec32d25289d05394b6dd508e09e
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