Instructions to use datawhales/korean-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datawhales/korean-relation-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="datawhales/korean-relation-extraction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("datawhales/korean-relation-extraction") model = AutoModel.from_pretrained("datawhales/korean-relation-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from datawhales/korean-relation-extraction: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/datawhales/korean-relation-extraction/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://datawhales/korean-relation-extraction/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/datawhales/korean-relation-extraction/resolve/main/pytorch_model.bin
407 MB
- Xet hash:
- e44628836d7888138a917bfcf22570ef08551ff74b9591c517010fd8459cd8d7
- Size of remote file:
- 407 MB
- SHA256:
- 7bb923946876052092208b9b0a92bf5d096432f1d96415f135e654935f294d12
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