How to use sharktide/ohca-predictor-v1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sharktide/ohca-predictor-v1")
How to use sharktide/ohca-predictor-v1 with Transformers:
# Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("sharktide/ohca-predictor-v1", trust_remote_code=True, device_map="auto")
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# configuration_ohca.py from transformers import PretrainedConfig class OhcaConfig(PretrainedConfig): model_type = "cvd_ohca_predictor" def __init__(self, **kwargs): super().__init__(**kwargs)
