Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use horang2k/roberta-base-klue-ynat-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use horang2k/roberta-base-klue-ynat-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="horang2k/roberta-base-klue-ynat-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("horang2k/roberta-base-klue-ynat-classification") model = AutoModelForSequenceClassification.from_pretrained("horang2k/roberta-base-klue-ynat-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49073fc6e19bbcc2e0b1ef1a21b69eae067d908e190af87a7101957a4578d3e3
- Size of remote file:
- 5.43 kB
- SHA256:
- 41f48959adecb2da8693950c1cf3bccce87c83d77b9b74b1a4889d72c82c9efb
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