Instructions to use Daehyuk/my_BertSum_ENG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daehyuk/my_BertSum_ENG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Daehyuk/my_BertSum_ENG") model = AutoModelForSeq2SeqLM.from_pretrained("Daehyuk/my_BertSum_ENG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Daehyuk/my_BertSum_ENG: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Daehyuk/my_BertSum_ENG/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Daehyuk/my_BertSum_ENG/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Daehyuk/my_BertSum_ENG/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 16e04d0db0e2bcf62f1b353e43c664a321fbf43b4cc9afc9e3043059a5ad66b3
- Size of remote file:
- 496 MB
- SHA256:
- 2d3164adc1c57c522102c82c19cf60dba1e7a70de02748e4a42426f2ea0e939d
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