Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Elron/deberta-v3-large-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/deberta-v3-large-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/deberta-v3-large-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/deberta-v3-large-hate") model = AutoModelForSequenceClassification.from_pretrained("Elron/deberta-v3-large-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 962d8cb86c76ea4028f41be34b0b9b9c7e841a45009e013cbd0c9f3705f3de94
- Size of remote file:
- 3.31 kB
- SHA256:
- 905229a66e041e28383381e29a8c40d438d511982854d7195ae501648f5d83ad
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