Instructions to use nbsp1221/communav-kcelectra-binary-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbsp1221/communav-kcelectra-binary-classification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nbsp1221/communav-kcelectra-binary-classification-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nbsp1221/communav-kcelectra-binary-classification-v1") model = AutoModelForSequenceClassification.from_pretrained("nbsp1221/communav-kcelectra-binary-classification-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from nbsp1221/communav-kcelectra-binary-classification-v1: direct link, hf CLI and curl.
- Browser
- Download file 43 Bytes
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https://huggingface.co/nbsp1221/communav-kcelectra-binary-classification-v1/resolve/main/README.md
- Command line
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hf download hf://nbsp1221/communav-kcelectra-binary-classification-v1/README.md
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curl -L -o README.md https://huggingface.co/nbsp1221/communav-kcelectra-binary-classification-v1/resolve/main/README.md
43 Bytes
- LABEL_0: 그 외
- LABEL_1: 수업/이과