Instructions to use helliun/bart-targeted-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helliun/bart-targeted-sum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("helliun/bart-targeted-sum") model = AutoModelForSeq2SeqLM.from_pretrained("helliun/bart-targeted-sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from helliun/bart-targeted-sum: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/helliun/bart-targeted-sum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://helliun/bart-targeted-sum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/helliun/bart-targeted-sum/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- a41d24abb37d6a3fada7bd9568b84ec06cae9ad14bf5d6c9120e62b269cb0d5c
- Size of remote file:
- 1.63 GB
- SHA256:
- 2815df32a0663195a8e13b73d7df313d1aacc4a4a6da034bd70d0493c317359e
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