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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b062b94a4fb0a2d5cdde23a0bfcf147533a50ec6e408b3b4386a6def8c387c4
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size 498622052
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