Instructions to use LZSI-1/Fonogesty_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LZSI-1/Fonogesty_model 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://LZSI-1/Fonogesty_model") - Notebooks
- Google Colab
- Kaggle
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Download README.md from LZSI-1/Fonogesty_model: direct link, hf CLI and curl.
- Browser
- Download file 150 Bytes
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https://huggingface.co/LZSI-1/Fonogesty_model/resolve/main/README.md
- Command line
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hf download hf://LZSI-1/Fonogesty_model/README.md
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curl -L -o README.md https://huggingface.co/LZSI-1/Fonogesty_model/resolve/main/README.md
150 Bytes
| license: unknown | |
| language: | |
| - pl | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - timm/mobilenetv2_100.ra_in1k | |
| pipeline_tag: image-classification | |
| tags: | |
| - code | |