Instructions to use Max-soji/multilingual-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Max-soji/multilingual-e5-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Max-soji/multilingual-e5-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Max-soji/multilingual-e5-small") model = AutoModel.from_pretrained("Max-soji/multilingual-e5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.onnx from Max-soji/multilingual-e5-small: direct link, hf CLI and curl.
- Browser
- Download file 470 MB
-
https://huggingface.co/Max-soji/multilingual-e5-small/resolve/main/model.onnx
- Command line
-
hf download hf://Max-soji/multilingual-e5-small/model.onnx
-
curl -L -o model.onnx https://huggingface.co/Max-soji/multilingual-e5-small/resolve/main/model.onnx
470 MB
- Xet hash:
- d41b5c754dc6e3df7e6289c74f6f845256a413d3ce67ddbdd542a9d3bf4170dc
- Size of remote file:
- 470 MB
- SHA256:
- 4aa845c27760e06e9a686b9d8b5d440eae4b6612cd09e5b522b716d3941f77ff
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