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
File size: 129 Bytes
5509d58 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5cc77104332f69dc549c57f14823a63d375c1c4d1f379593a8844dd532412c90
size 3375
|