Instructions to use Qdrant/multilingual-e5-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qdrant/multilingual-e5-large-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Qdrant/multilingual-e5-large-onnx") model = AutoModel.from_pretrained("Qdrant/multilingual-e5-large-onnx") - Notebooks
- Google Colab
- Kaggle
Upload model.onnx with huggingface_hub
Browse files- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c09780c907c8a91a77a6ab1fd231f79e090d2907ca431223703dfebeed3d36c
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size 545851
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