Instructions to use tawsif18/puma_model_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tawsif18/puma_model_checkpoints with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tawsif18/puma_model_checkpoints") - Notebooks
- Google Colab
- Kaggle
Checkpoint sharp_tissue_epoch20_datasetsize17795_lr.weights.h5
Browse files
sharp_tissue_epoch20_datasetsize17795_lr.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:008a47edebd5679b1c9c9ced7b6d6fd12f47ba1092e8989cd3a5f346b0d7ad10
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size 753558752
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