Instructions to use Multilingual-Perspectivist-NLU/irony_hi_India with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multilingual-Perspectivist-NLU/irony_hi_India with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multilingual-Perspectivist-NLU/irony_hi_India")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multilingual-Perspectivist-NLU/irony_hi_India") model = AutoModelForSequenceClassification.from_pretrained("Multilingual-Perspectivist-NLU/irony_hi_India", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7ba43103f102effac06fd7bbbd252e779d35c67f38543a799290028bdc8dd2e
- Size of remote file:
- 499 MB
- SHA256:
- 4573124ac3cbb1677cbb8040a70e046a83582628126e4570540a73a039e8cf18
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