Instructions to use HyperActiveMind/ModernBERT-Base-SarcasmClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyperActiveMind/ModernBERT-Base-SarcasmClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HyperActiveMind/ModernBERT-Base-SarcasmClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HyperActiveMind/ModernBERT-Base-SarcasmClassifier") model = AutoModelForSequenceClassification.from_pretrained("HyperActiveMind/ModernBERT-Base-SarcasmClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67456e55492b657a67e164a88df8414f02cd45f00dbb929c4c53830089241f92
- Size of remote file:
- 598 MB
- SHA256:
- 5d6af8d3dae4e548e5f24612b0ef3c841a04182d63516148087f8382035777de
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