Instructions to use BM-K/KoSimCSE-bert-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BM-K/KoSimCSE-bert-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BM-K/KoSimCSE-bert-multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BM-K/KoSimCSE-bert-multitask") model = AutoModel.from_pretrained("BM-K/KoSimCSE-bert-multitask") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d29a4d902d5465baa60db5e6c56d21a37b27cab9f623c143926cc3f6a957b57f
- Size of remote file:
- 443 MB
- SHA256:
- 28dbb5c830f4a482a4613c3dc16200e5111e4927c81a89660081d34cfeacd25b
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