Instructions to use ncoop57/multilingual-codesearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncoop57/multilingual-codesearch with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ncoop57/multilingual-codesearch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ncoop57/multilingual-codesearch: direct link, hf CLI and curl.
- Browser
- Download file 1.04 GB
-
https://huggingface.co/ncoop57/multilingual-codesearch/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ncoop57/multilingual-codesearch/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ncoop57/multilingual-codesearch/resolve/main/pytorch_model.bin
1.04 GB
- Xet hash:
- cfdd27af064745c76e82902d59debef82db103bac98ccdf5a7e2ab53f51bbffd
- Size of remote file:
- 1.04 GB
- SHA256:
- 5a309a8dacedeefd5d218042445c999ded5bc60b07029f218bf1d5dab48bb3c6
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