Instructions to use Cynki/rtsum_abs_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cynki/rtsum_abs_bart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Cynki/rtsum_abs_bart") model = AutoModelForSeq2SeqLM.from_pretrained("Cynki/rtsum_abs_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Cynki/rtsum_abs_bart: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Cynki/rtsum_abs_bart/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Cynki/rtsum_abs_bart/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Cynki/rtsum_abs_bart/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- fceb8a5c154f16d4ed8bf072e6159e5f804fcd6ca699cdbeefc4e96bcc5d110e
- Size of remote file:
- 558 MB
- SHA256:
- e81144ff88620154fa305872c18a6e5d3c7369097ec5311b8530a27be702b39a
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