Instructions to use prithivMLmods/Ares-Bart-Cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Ares-Bart-Cnn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Ares-Bart-Cnn") model = AutoModelForSeq2SeqLM.from_pretrained("prithivMLmods/Ares-Bart-Cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prithivMLmods/Ares-Bart-Cnn: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/prithivMLmods/Ares-Bart-Cnn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prithivMLmods/Ares-Bart-Cnn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prithivMLmods/Ares-Bart-Cnn/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 66ce7fd288c891f00ce1cb0021a3d93232ec4bffe232bd5c3651a642bac61bd2
- Size of remote file:
- 1.63 GB
- SHA256:
- 2ac2745c02ac987d82c78a14b426de58d5e4178ae8039ba1c6881eccff3e82f1
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