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:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("BonjinKim/dst_kor_bert") model = AutoModelForPreTraining.from_pretrained("BonjinKim/dst_kor_bert") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Korean bert base model for DST
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- This is ConversationBert for dsksd/bert-ko-small-minimal(base-module) + 5 datasets
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- 5 datasets
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- tweeter_dialogue : xlsx
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- speech : trn
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- KETI_dialogue : txt
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- WOS_dataset : json
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model = AutoModel.from_pretrained("
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# Korean bert base model for DST
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- This is ConversationBert for dsksd/bert-ko-small-minimal(base-module) + 5 datasets
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- Use dsksd/bert-ko-small-minimal tokenizer
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- 5 datasets
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- tweeter_dialogue : xlsx
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- speech : trn
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- KETI_dialogue : txt
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- WOS_dataset : json
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```python
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tokenizer = AutoTokenizer.from_pretrained("BonjinKim/dst_kor_bert")
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model = AutoModel.from_pretrained("BonjinKim/dst_kor_bert")
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```
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