Instructions to use JunHyung1206/kote_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunHyung1206/kote_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JunHyung1206/kote_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JunHyung1206/kote_classification") model = AutoModelForSequenceClassification.from_pretrained("JunHyung1206/kote_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:3d77054a7d688d5f929129ebfa1cd83dc6aef85981e35045d20373817cceeed5
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size 1346723028
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