Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-offensive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-offensive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-offensive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-offensive") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-offensive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbf984238297fb9f19d5622ac89b0a86f4a301ee6be606f3f5c31ead816f6ef5
- Size of remote file:
- 3.38 kB
- SHA256:
- 5cc77104332f69dc549c57f14823a63d375c1c4d1f379593a8844dd532412c90
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