Instructions to use MrBananaHuman/klue-roberta-base-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrBananaHuman/klue-roberta-base-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MrBananaHuman/klue-roberta-base-sts")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MrBananaHuman/klue-roberta-base-sts") model = AutoModel.from_pretrained("MrBananaHuman/klue-roberta-base-sts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90bffc6386965d19953ba7e4ad07067c0b9b3b53ec9ff409043d8c097179bca
- Size of remote file:
- 443 MB
- SHA256:
- 9b1038668fd93df694316ae113e4c3a7fb339a22d188e8ef125d1410b9959c0e
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