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 pytorch_model.bin from van-ng/dialogue-summarize: direct link, hf CLI and curl.
- Browser
- Download file 495 MB
-
https://huggingface.co/van-ng/dialogue-summarize/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://van-ng/dialogue-summarize/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/van-ng/dialogue-summarize/resolve/main/pytorch_model.bin
495 MB
- Xet hash:
- 004be09698426531fdf92be7560cc11cd31de9d6ebbcc4d36d416c7ed8e3d674
- Size of remote file:
- 495 MB
- SHA256:
- f26a8c349678a947ea0051c123860bc50d7e9ac4f3542f6470ef9f2e8ba9e937
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