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 scheduler.pt from mooncakex/sg: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/mooncakex/sg/resolve/main/scheduler.pt
- Command line
-
hf download hf://mooncakex/sg/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/mooncakex/sg/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- b1a50622d93c0422f03fed92a324c51e309fa1f4992bd704dc79058d313d1bc8
- Size of remote file:
- 627 Bytes
- SHA256:
- 3fb923779d12241ecdce4de8de7a7936d411d8e46d758acad374bf40f5c2109f
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