Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use gigauser/kcbert_nsmc_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gigauser/kcbert_nsmc_tuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gigauser/kcbert_nsmc_tuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gigauser/kcbert_nsmc_tuning") model = AutoModelForSequenceClassification.from_pretrained("gigauser/kcbert_nsmc_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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