Instructions to use zeromodels/dinov2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/dinov2-large with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/dinov2-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bfcde8253b85491354dc9b137bf1e2bc42f3ad9766e113e46bef3a2c86ee658
- Size of remote file:
- 1.21 GB
- SHA256:
- f228cf6ccb74e48d741ca353cad35aab8e0216194255297c5eb0053df05bdb45
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