Instructions to use 24bean/kcelectra_senti_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 24bean/kcelectra_senti_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="24bean/kcelectra_senti_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("24bean/kcelectra_senti_binary") model = AutoModelForSequenceClassification.from_pretrained("24bean/kcelectra_senti_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 803c58b342766eb35c0e5e0148f3e7fddd408bc77d5973031d1e4bf1ccd2ea1a
- Size of remote file:
- 2.99 kB
- SHA256:
- c0a332739807d812b837c41ed75d2b7a5beac831f774cda92b109f457c027312
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