Instructions to use WiseIntelligence/multilingual-e5-small-Optimum-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WiseIntelligence/multilingual-e5-small-Optimum-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WiseIntelligence/multilingual-e5-small-Optimum-ONNX")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("WiseIntelligence/multilingual-e5-small-Optimum-ONNX") model = AutoModel.from_pretrained("WiseIntelligence/multilingual-e5-small-Optimum-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model.onnx with huggingface_hub
10e4f1b -
Upload tokenizer.json with huggingface_hub
8b21bec -
Upload tokenizer_config.json with huggingface_hub
97f4bf6 -
Upload special_tokens_map.json with huggingface_hub
6b35386 -
Upload sentencepiece.bpe.model with huggingface_hub
5a15144 -
Upload config.json with huggingface_hub
08daac5 -
initial commit
dc3f8ac