Instructions to use van-ng/dialogue-summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use van-ng/dialogue-summarize with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("van-ng/dialogue-summarize") model = AutoModelForSeq2SeqLM.from_pretrained("van-ng/dialogue-summarize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from van-ng/dialogue-summarize: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/van-ng/dialogue-summarize/resolve/main/training_args.bin
- Command line
-
hf download hf://van-ng/dialogue-summarize/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/van-ng/dialogue-summarize/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- 8a634f2780349bea107101410d96ce7076c20d3c54bf00552287a30b11c5d6f0
- Size of remote file:
- 4.47 kB
- SHA256:
- d0000f194b1404aefd696445dbb7d8e2a9be0f0a105b151927b7373dcaefc78a
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