jakob.scheid/word-language-detector-ai-api
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Jakob Scheid
2026-03-08 01:00:49 +01:00
parent 282ac24869
commit 9d68759e56
1 changed files with 3 additions and 3 deletions
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README.md
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@@ -21,9 +21,9 @@ python3 -m pip install fastapi pydantic tensorflow uvicorn scikit-learn --break-
sudo mkdir -p $LOCATION sudo mkdir -p $LOCATION
# download and unpack the archive # download and unpack the archive
curl -fsSL --retry 3 -o word-language-detector-ai-api_0.1.0_linux-aarch_source.tar.gz https://repo.jcloud-services.ddns.net/software/word-language-detector-ai-api/word-language-detector-ai-api_0.1.0_linux-aarch_source.tar.gz curl -fsSL --retry 3 -o word-language-detector-ai-api_latest_linux-aarch_source.tar.gz https://repo.jcloud-services.ddns.net/software/word-language-detector-ai-api/word-language-detector-ai-api_latest_linux-aarch_source.tar.gz
sudo tar -xzf word-language-detector-ai-api_0.1.0_linux-aarch_source.tar.gz -C $LOCATION sudo tar -xzf word-language-detector-ai-api_latest_linux-aarch_source.tar.gz -C $LOCATION
sudo rm -f word-language-detector-ai-api_0.1.0_linux-aarch_source.tar.gz sudo rm -f word-language-detector-ai-api_latest_linux-aarch_source.tar.gz
# Optional: download the model # Optional: download the model
# You can leave this part out if you want to provide the model yourself. Notice that the directory has to include following files: 'label_encoder.json' (label encoder), 'language_detector.keras' (the actual model), 'max_len' (token maximum length) and 'tokenizer.json' (tokenizer). It is recommended to download the model as below. # You can leave this part out if you want to provide the model yourself. Notice that the directory has to include following files: 'label_encoder.json' (label encoder), 'language_detector.keras' (the actual model), 'max_len' (token maximum length) and 'tokenizer.json' (tokenizer). It is recommended to download the model as below.