Instructions to use steveGomez/retinalmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use steveGomez/retinalmodel 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://steveGomez/retinalmodel") - Notebooks
- Google Colab
- Kaggle
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Download README.md from steveGomez/retinalmodel: direct link, hf CLI and curl.
- Browser
- Download file 463 Bytes
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https://huggingface.co/steveGomez/retinalmodel/resolve/refs%2Fpr%2F1/README.md
- Command line
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hf download hf://steveGomez/retinalmodel@refs/pr/1/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/steveGomez/retinalmodel/resolve/refs%2Fpr%2F1/README.md
463 Bytes
| license: apache-2.0 | |
| datasets: | |
| - HuggingFaceFV/finevideo | |
| language: | |
| - es | |
| base_model: | |
| - meta-llama/Llama-3.2-11B-Vision-Instruct | |
| tags: | |
| - image-classification | |
| - keras | |
| - medical | |
| --- | |
| widget: | |
| - text: "imágenes probatorias de retina" | |
| output: | |
| url: images/eye.jpg | |
| # Retinal Disease Classification Model | |
| Este modelo ha sido entrenado para la clasificación de imágenes de retina en diferentes categorías relacionadas con enfermedades oculares. |