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 optimizer.pt from mooncakex/sg: direct link, hf CLI and curl.
- Browser
- Download file 1.98 GB
-
https://huggingface.co/mooncakex/sg/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://mooncakex/sg@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/mooncakex/sg/resolve/refs%2Fpr%2F1/optimizer.pt
1.98 GB
- Xet hash:
- 79f3e1b241747896a1eb9e918f99f8e04ef4c4c6471c1c774c34b31f239f618d
- Size of remote file:
- 1.98 GB
- SHA256:
- 971ea041f7fffe58b59c2f130a896cd3f45a27c296ac6b5b63db1cf8a0756c75
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