Instructions to use mooncakex/sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mooncakex/sg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mooncakex/sg") model = AutoModelForSeq2SeqLM.from_pretrained("mooncakex/sg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mooncakex/sg: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/mooncakex/sg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mooncakex/sg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mooncakex/sg/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- a29d52b131bc9304428f1af70185949efe99f1309f9447a852032a9cb53e6c77
- Size of remote file:
- 990 MB
- SHA256:
- 89bfe9e89a987660dea6c2e3f89a00497551e7e87016eb1d6161b5420d749e30
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