Instructions to use js2jang/kor_biencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use js2jang/kor_biencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="js2jang/kor_biencoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("js2jang/kor_biencoder") model = AutoModel.from_pretrained("js2jang/kor_biencoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete 1_Pooling
Browse files
1_Pooling/1_Pooling_config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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