Instructions to use JesseStover/L2AI-dictionary-klue-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JesseStover/L2AI-dictionary-klue-bert-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("JesseStover/L2AI-dictionary-klue-bert-base") model = AutoModelForMultipleChoice.from_pretrained("JesseStover/L2AI-dictionary-klue-bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from JesseStover/L2AI-dictionary-klue-bert-base: direct link, hf CLI and curl.
- Browser
- Download file 885 MB
-
https://huggingface.co/JesseStover/L2AI-dictionary-klue-bert-base/resolve/main/optimizer.pt
- Command line
-
hf download hf://JesseStover/L2AI-dictionary-klue-bert-base/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/JesseStover/L2AI-dictionary-klue-bert-base/resolve/main/optimizer.pt
885 MB
- Xet hash:
- 49ae42179395d9f843d2112a6530ab6441b8c153a5d9123fa30d2ba1b6faf180
- Size of remote file:
- 885 MB
- SHA256:
- d8dd30f1feb656e60712c80a0a49212745ea7f773548e19f572507a5fbd0853d
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