Instructions to use cardiffnlp/twitter-roberta-base-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-irony") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-irony", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc0cf0c86eec641fbdf830366396bdc76015e720a586a734f41025d7077172ae
- Size of remote file:
- 499 MB
- SHA256:
- 54d4ed875e0f06699b089d2e56f8a3101772a1202bf89639fff658cefb37560f
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