Instructions to use xiaoyaoes/mfv-test-scanner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use xiaoyaoes/mfv-test-scanner with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://xiaoyaoes/mfv-test-scanner") - Notebooks
- Google Colab
- Kaggle
Download model.msgpack from xiaoyaoes/mfv-test-scanner: direct link, hf CLI and curl.
- Browser
- Download file 64 Bytes
-
https://huggingface.co/xiaoyaoes/mfv-test-scanner/resolve/main/model.msgpack
- Command line
-
hf download hf://xiaoyaoes/mfv-test-scanner/model.msgpack
-
curl -L -o model.msgpack https://huggingface.co/xiaoyaoes/mfv-test-scanner/resolve/main/model.msgpack
64 Bytes
- Xet hash:
- 4e7ae41af8ac17d9e0a27e41c174c00f3d563b7ba3e9a411a8f6fe719dd154b1
- Size of remote file:
- 64 Bytes
- SHA256:
- 0b2046941835059d9108f6baac45982d1dcc97c901cacf7e4f0c230ca2023e89
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