Instructions to use Oblix/distilbert-multilingual-nli-stsb-quora-ranking_ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oblix/distilbert-multilingual-nli-stsb-quora-ranking_ONNX with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Oblix/distilbert-multilingual-nli-stsb-quora-ranking_ONNX") model = AutoModel.from_pretrained("Oblix/distilbert-multilingual-nli-stsb-quora-ranking_ONNX") - Notebooks
- Google Colab
- Kaggle
https://huggingface.co/sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking with ONNX weights to be compatible with Transformers.js.
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