Instructions to use Huffon/klue-roberta-base-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huffon/klue-roberta-base-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Huffon/klue-roberta-base-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Huffon/klue-roberta-base-nli") model = AutoModelForSequenceClassification.from_pretrained("Huffon/klue-roberta-base-nli") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d0486ae2e355849bcf688f6124a792611bbdd38d48a865315c63f1af8f2daa0
- Size of remote file:
- 443 MB
- SHA256:
- f8d70a766c0561bcd7fbd115d82a559cfd6d235af6294b0ccf03828f2e09b3a0
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