Instructions to use Metformin/CXR_captioning_FineTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Metformin/CXR_captioning_FineTune 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://Metformin/CXR_captioning_FineTune") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Metformin/CXR_captioning_FineTune: direct link, hf CLI and curl.
- Browser
- Download file 9.61 MB
-
https://huggingface.co/Metformin/CXR_captioning_FineTune/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://Metformin/CXR_captioning_FineTune@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Metformin/CXR_captioning_FineTune/resolve/refs%2Fpr%2F1/saved_model.pb
9.61 MB
- Xet hash:
- deefe476a176a2db16241de21c82d1d47277d08ca1ddd254089df7b87f9912d9
- Size of remote file:
- 9.61 MB
- SHA256:
- 82ad81be43cf934df11bbe97e7ea2a7329d370e2f79ecddbd5dac9d32bf089b5
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