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 attention_tissue_epoch30_datasetsize17795_lr.weights.h5
Browse files
attention_tissue_epoch30_datasetsize17795_lr.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:775c6f639198ade7c92c90ce4949b8e9fdb4cdb77549ee4059cb04a8ff4d86da
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size 656196992
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