Instructions to use emresvd/u213 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use emresvd/u213 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://emresvd/u213") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aa68ef8e070dbbfed7913459ca1ce4356eaf5579238890476faa0337e76d8d1
- Size of remote file:
- 20.4 kB
- SHA256:
- 6469804200243e4587cdc9bf6cdea819a94d878212139ecb327cf3fa0fa51c3a
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