Instructions to use snunlp/KR-Medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snunlp/KR-Medium with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("snunlp/KR-Medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from snunlp/KR-Medium: direct link, hf CLI and curl.
- Browser
- Download file 406 MB
-
https://huggingface.co/snunlp/KR-Medium/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://snunlp/KR-Medium/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/snunlp/KR-Medium/resolve/main/flax_model.msgpack
406 MB
- Xet hash:
- ad61b0fbe1de215e5566977a173e7c40c02baf13ed92ff29211228ced5c9bbf3
- Size of remote file:
- 406 MB
- SHA256:
- 0fa33063c63522ddbf79f4ae3ee1a5e72f8a31f51558f83107d4ceb08cdd78d4
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