Instructions to use wandb/deberta-base-relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wandb/deberta-base-relevance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="wandb/deberta-base-relevance", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wandb/deberta-base-relevance", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload DocumentSentenceRelevancePipeline
Verified signature95b1312 -
Upload model
Verified signature8e5e992 -
Upload DocumentSentenceRelevancePipeline
Verified signature347d909 -
Upload model
Verified signature5ba8934 -
Upload tokenizer
Verified signature1610d69 -
initial commit
Verified signatureaee2d7e