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_quantized.onnx from Max-soji/multilingual-e5-small: direct link, hf CLI and curl.
- Browser
- Download file 118 MB
-
https://huggingface.co/Max-soji/multilingual-e5-small/resolve/main/model_quantized.onnx
- Command line
-
hf download hf://Max-soji/multilingual-e5-small/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/Max-soji/multilingual-e5-small/resolve/main/model_quantized.onnx
118 MB
- Xet hash:
- 6356af47b80160b0ec81e55efb0be0d05c42e8d5fa70657e1620c0b78b9f46d1
- Size of remote file:
- 118 MB
- SHA256:
- 661352db74195c3431509ec7fbd10a58d78417ce625cdbe78527c43fb3429ffe
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