Text Classification
Transformers
Safetensors
deberta-v2
translationese
classification
sea
southeast asia
text-embeddings-inference
Instructions to use SEACrowd/mdeberta-v3_sea_translationese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEACrowd/mdeberta-v3_sea_translationese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SEACrowd/mdeberta-v3_sea_translationese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SEACrowd/mdeberta-v3_sea_translationese") model = AutoModelForSequenceClassification.from_pretrained("SEACrowd/mdeberta-v3_sea_translationese") - Notebooks
- Google Colab
- Kaggle
Ctrl+K