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 training_args.bin from mooncakex/sg: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/mooncakex/sg/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://mooncakex/sg@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mooncakex/sg/resolve/refs%2Fpr%2F1/training_args.bin
3.64 kB
- Xet hash:
- c3ec53a102de680aa28f2c0767a0e9eba607109188d4909de2d9776b88388a52
- Size of remote file:
- 3.64 kB
- SHA256:
- e63d221054bc764a9584141c03a3ca693e45c56216195dbcb340448ed0d4ac1f
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