Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use glaborie/sarcasm-detector-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use glaborie/sarcasm-detector-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="glaborie/sarcasm-detector-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("glaborie/sarcasm-detector-roberta") model = AutoModelForSequenceClassification.from_pretrained("glaborie/sarcasm-detector-roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4e23b5544145c12f173c5e567af490f95f778fff9bb1bb6898b609574bcbd5d
- Size of remote file:
- 5.33 kB
- SHA256:
- cc7b4a0485265f3f455d6ca41d12a586ef500a3a5ac3eca939e80f5ec3b67857
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