Instructions to use Morgan9803/roberta-base-klue-ynat-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Morgan9803/roberta-base-klue-ynat-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Morgan9803/roberta-base-klue-ynat-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Morgan9803/roberta-base-klue-ynat-classification") model = AutoModelForSequenceClassification.from_pretrained("Morgan9803/roberta-base-klue-ynat-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9adb0f84729f8fecdc0fb66f176886cc525ba27e114895649eb225aea45c18c
- Size of remote file:
- 5.3 kB
- SHA256:
- dc4dffbfa06383831a202114fac86896375ec25cf30f3551f1d57028a7f0df64
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