Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-irony") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-irony", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2166a42c8028b865486174d195cf96b4cd2cd5499b202c2a1996af4b412bd16
- Size of remote file:
- 1.74 GB
- SHA256:
- 2c4b4cd8e258c97f6ddd4ec624d9ece030473071f026ea6d805c823274f2b7d1
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