Instructions to use Max-soji/all-MiniLM-L12-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Max-soji/all-MiniLM-L12-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Max-soji/all-MiniLM-L12-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_quantized_optimized.onnx from Max-soji/all-MiniLM-L12-v2: direct link, hf CLI and curl.
- Browser
- Download file 33.8 MB
-
https://huggingface.co/Max-soji/all-MiniLM-L12-v2/resolve/main/model_quantized_optimized.onnx
- Command line
-
hf download hf://Max-soji/all-MiniLM-L12-v2/model_quantized_optimized.onnx
-
curl -L -o model_quantized_optimized.onnx https://huggingface.co/Max-soji/all-MiniLM-L12-v2/resolve/main/model_quantized_optimized.onnx
33.8 MB
- Xet hash:
- 57d9e47063265272ce522e6b75038ab9ad245cdd7a0e4629c2b0352d56dce779
- Size of remote file:
- 33.8 MB
- SHA256:
- 9a3db3da85afdb491a1eb4ae0990d19267ee8702450384ac8352fcd1d1db5504
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