Instructions to use chanyaphas/summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chanyaphas/summarize with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chanyaphas/summarize") model = AutoModelForSeq2SeqLM.from_pretrained("chanyaphas/summarize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chanyaphas/summarize: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/chanyaphas/summarize/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://chanyaphas/summarize/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chanyaphas/summarize/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 5b7b47ea26ef352a361c4bdb248fdfff54094c5ebba1b8a72185b2983263c347
- Size of remote file:
- 558 MB
- SHA256:
- 1e60448ae37f7251990630b310683ca6f49feb05c1e3860f8e8edb9081e78c21
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