Instructions to use daje/dpr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daje/dpr with Transformers:
# Load model directly from transformers import AutoTokenizer, KobertBiEncoder tokenizer = AutoTokenizer.from_pretrained("daje/dpr") model = KobertBiEncoder.from_pretrained("daje/dpr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20732b6a70aa118ab306d5016d8d68b43b433068b5b59952f6544a02e8bcb8f8
- Size of remote file:
- 738 MB
- SHA256:
- 939d7e07b18ed26e87c2e49c5012f63e45da22b24252500485ede878feb56a0f
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