Instructions to use thingsu/koDPR_question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thingsu/koDPR_question with Transformers:
# Load model directly from transformers import AutoTokenizer, BertEncoder tokenizer = AutoTokenizer.from_pretrained("thingsu/koDPR_question") model = BertEncoder.from_pretrained("thingsu/koDPR_question", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3e06d739a79694e3d066133a68042860c5c951b2aaf4e44252445b702dfa3b9
- Size of remote file:
- 473 MB
- SHA256:
- 5154d7a0e19dad6c0f1a18f4000a7b65c09a0b27d59b0a70ed7979d6cf0ca4f3
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