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_epoch10_datasetsize17836_lr.weights.h5
Browse files
attention_tissue_epoch10_datasetsize17836_lr.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc76de6321a58e67e732a6940b2bf85c52c3c259d3813a314de24b781aa6c5e2
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size 656196992
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