Text Classification
Transformers
Safetensors
English
roberta
sarcasm-detection
nlu
contextual-analysis
Eval Results (legacy)
text-embeddings-inference
Instructions to use sennatitcomb/sarcasm-detector-json-joshi-gutenberg-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sennatitcomb/sarcasm-detector-json-joshi-gutenberg-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sennatitcomb/sarcasm-detector-json-joshi-gutenberg-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sennatitcomb/sarcasm-detector-json-joshi-gutenberg-final") model = AutoModelForSequenceClassification.from_pretrained("sennatitcomb/sarcasm-detector-json-joshi-gutenberg-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K