Instructions to use 20rawraj/thyroid-detection-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 20rawraj/thyroid-detection-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://20rawraj/thyroid-detection-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a85beda0aeee63ffc2f0490f119248d75e5b3015e55bce6afb6c2ee4885ccf8c
- Size of remote file:
- 4.72 MB
- SHA256:
- 1220270db5153500e228beeef6bed5232106fe5c76f5d1d780d14dba42605b68
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