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
-
https://huggingface.co/LZSI-1/Fonogesty_model/resolve/main/README.md
- Command line
-
hf download hf://LZSI-1/Fonogesty_model/README.md
-
curl -L -o README.md https://huggingface.co/LZSI-1/Fonogesty_model/resolve/main/README.md
150 Bytes
metadata
license: unknown
language:
- pl
metrics:
- accuracy
base_model:
- timm/mobilenetv2_100.ra_in1k
pipeline_tag: image-classification
tags:
- code