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revital
2025-02-13 10:48:26 +02:00
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docs/getting_started/ds/ds_second_steps.md
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@@ -89,7 +89,7 @@ Calling `get_local_copy()` returns a local cached copy of the artifact. Therefor
need to download the artifact again.
Calling `get()` gets a deserialized pickled object.
Check out the [artifacts retrieval](https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts_retrieval.py) example code.
Check out the [artifacts retrieval](https://github.com/clearml/clearml/blob/master/examples/reporting/artifacts_retrieval.py) example code.
### Models
@@ -112,10 +112,10 @@ Now, whenever the framework (TensorFlow/Keras/PyTorch etc.) stores a snapshot, t
Loading models by a framework is also logged by the system; these models appear in an experiment's **Artifacts** tab,
under the "Input Models" section.
Check out model snapshots examples for [TensorFlow](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorflow/tensorflow_mnist.py),
[PyTorch](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py),
[Keras](https://github.com/allegroai/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py),
[scikit-learn](https://github.com/allegroai/clearml/blob/master/examples/frameworks/scikit-learn/sklearn_joblib_example.py).
Check out model snapshots examples for [TensorFlow](https://github.com/clearml/clearml/blob/master/examples/frameworks/tensorflow/tensorflow_mnist.py),
[PyTorch](https://github.com/clearml/clearml/blob/master/examples/frameworks/pytorch/pytorch_mnist.py),
[Keras](https://github.com/clearml/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py),
[scikit-learn](https://github.com/clearml/clearml/blob/master/examples/frameworks/scikit-learn/sklearn_joblib_example.py).
#### Loading Models
Loading a previously trained model is quite similar to loading artifacts.