@@ -107,7 +107,7 @@ This command performs a magical link between the folder you cloned the repositor
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```
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```
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now this editable install will reside where you clone the folder to, e.g. `~/transformers/` and python will search it too.
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now this editable install will reside where you clone the folder to, e.g. `~/transformers/` and python will search it too.
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Do note that you have to keep that `transformers` folder around and not delete it to continue using the `transfomers` library.
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Do note that you have to keep that `transformers` folder around and not delete it to continue using the `transformers` library.
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Now, let's get to the real benefit of this installation approach. Say, you saw some new feature has been just committed into `master`. If you have already performed all the steps above, to update your transformers to include all the latest commits, all you need to do is to `cd` into that cloned repository folder and update the clone to the latest version:
|
Now, let's get to the real benefit of this installation approach. Say, you saw some new feature has been just committed into `master`. If you have already performed all the steps above, to update your transformers to include all the latest commits, all you need to do is to `cd` into that cloned repository folder and update the clone to the latest version:
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@@ -131,7 +131,7 @@ directly create a PyTorch version of your TensorFlow model:
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.. code-block:: python
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.. code-block:: python
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from transfomers import AutoModel
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from transformers import AutoModel
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model = AutoModel.from_pretrained(save_directory, from_tf=True)
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model = AutoModel.from_pretrained(save_directory, from_tf=True)
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Reference in New Issue
Block a user