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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f93d99bccc5f7fc9118f578be0705edf454f37e7444cc63e4606c7bffa98bf7
- Size of remote file:
- 1.74 GB
- SHA256:
- 6f7ba2e4b0f924fa51337948a3738d07bae7c09a72d54b9823fe22979c01793c
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