Instructions to use hyesunyun/update-summarization-bart-large-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyesunyun/update-summarization-bart-large-longformer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyesunyun/update-summarization-bart-large-longformer") model = AutoModelForSeq2SeqLM.from_pretrained("hyesunyun/update-summarization-bart-large-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hyesunyun/update-summarization-bart-large-longformer: direct link, hf CLI and curl.
- Browser
- Download file 1.84 GB
-
https://huggingface.co/hyesunyun/update-summarization-bart-large-longformer/resolve/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://hyesunyun/update-summarization-bart-large-longformer@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hyesunyun/update-summarization-bart-large-longformer/resolve/refs%2Fpr%2F3/pytorch_model.bin
1.84 GB
- Xet hash:
- 5fc634daee2102bbb334093dcd06cea0d7be80692e1f684b8dc33436b2b7d1c7
- Size of remote file:
- 1.84 GB
- SHA256:
- ffc0c9ce2c2c3e0a95ffb4aec42247ae7b419bf53f1bfb5e98b2aacca7330c4c
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