Instructions to use IAmFlyingMonkey/roberta-base-model-korean-text-tag-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAmFlyingMonkey/roberta-base-model-korean-text-tag-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IAmFlyingMonkey/roberta-base-model-korean-text-tag-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IAmFlyingMonkey/roberta-base-model-korean-text-tag-classification") model = AutoModelForSequenceClassification.from_pretrained("IAmFlyingMonkey/roberta-base-model-korean-text-tag-classification") - Notebooks
- Google Colab
- Kaggle
label Info:
- 뻘글 1. 정보 2. 질문 3. 파티/친구 4. 저격/박제
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