Instructions to use DataAnalyticsLab/Symbolic-Symmetric-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataAnalyticsLab/Symbolic-Symmetric-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataAnalyticsLab/Symbolic-Symmetric-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DataAnalyticsLab/Symbolic-Symmetric-Classifier") model = AutoModelForSequenceClassification.from_pretrained("DataAnalyticsLab/Symbolic-Symmetric-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb4031f784d9c0d157d41bd03d8cd856fc811a523e2d844b2f0990224308a283
- Size of remote file:
- 4.22 kB
- SHA256:
- 31e894bf7735aa1c488f27ac53cb1e15da76948cd336da5bead69c53520e2e85
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