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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 080651910ebfb0667b2855bac1eba3b036ebb45ee06c2bf935e18bc715fb1228
- Size of remote file:
- 442 MB
- SHA256:
- a33e587f4d50d71436c9017c147049305c45ce287c95f2f9d78631a57c7dde73
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