Instructions to use BM-K/KoSimCSE-roberta-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BM-K/KoSimCSE-roberta-multitask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BM-K/KoSimCSE-roberta-multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BM-K/KoSimCSE-roberta-multitask") model = AutoModel.from_pretrained("BM-K/KoSimCSE-roberta-multitask") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e42d5db281f5475b415989916f9e1aa9bf500c408ac5912dd73b9828544d56b
- Size of remote file:
- 443 MB
- SHA256:
- 04cf826794533013b46355967191b0bce7457704a4fbe7e9914416e52f4a40b5
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