Instructions to use JohnnyNLP/kobert-8-class-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JohnnyNLP/kobert-8-class-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JohnnyNLP/kobert-8-class-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JohnnyNLP/kobert-8-class-sentiment-analysis") model = AutoModel.from_pretrained("JohnnyNLP/kobert-8-class-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c56f8bb863d6826289091c43557d3cc37193a6d90b0b6b83fc4ca3f106ddd54
- Size of remote file:
- 369 MB
- SHA256:
- 54e18a1c29fd33f85a49149ee24d4cc8567a1206bac94425e4a364a330f69a4b
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