Instructions to use WiseIntelligence/multilingual-e5-large-Optimum-ONNX-Quantized-AVX2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WiseIntelligence/multilingual-e5-large-Optimum-ONNX-Quantized-AVX2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WiseIntelligence/multilingual-e5-large-Optimum-ONNX-Quantized-AVX2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("WiseIntelligence/multilingual-e5-large-Optimum-ONNX-Quantized-AVX2") model = AutoModel.from_pretrained("WiseIntelligence/multilingual-e5-large-Optimum-ONNX-Quantized-AVX2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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initial commit
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