Instructions to use BonjinKim/dst_kor_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BonjinKim/dst_kor_bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("BonjinKim/dst_kor_bert") model = AutoModelForPreTraining.from_pretrained("BonjinKim/dst_kor_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from BonjinKim/dst_kor_bert: direct link, hf CLI and curl.
- Browser
- Download file 284 MB
-
https://huggingface.co/BonjinKim/dst_kor_bert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://BonjinKim/dst_kor_bert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/BonjinKim/dst_kor_bert/resolve/main/flax_model.msgpack
284 MB
- Xet hash:
- 8a57f7adaf5f1b74ffee8e25fd2e7eeaec6858edb5c3039eddbc5b72eae35a9b
- Size of remote file:
- 284 MB
- SHA256:
- 694a44a3c8627d2907b1dad916e6ec85f6a53af755fd2708df3a2a96c820b98b
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