Instructions to use daniazie/mdeberta-v3_translationese_pairwise_combined_loss_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daniazie/mdeberta-v3_translationese_pairwise_combined_loss_v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daniazie/mdeberta-v3_translationese_pairwise_combined_loss_v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daniazie/mdeberta-v3_translationese_pairwise_combined_loss_v0.1") model = AutoModelForSequenceClassification.from_pretrained("daniazie/mdeberta-v3_translationese_pairwise_combined_loss_v0.1") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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