mirror of
https://github.com/saymrwulf/transformers.git
synced 2026-05-15 21:01:19 +00:00
parent
8a2a3a25af
commit
eaab9397cd
2 changed files with 2 additions and 2 deletions
|
|
@ -107,7 +107,7 @@ This command performs a magical link between the folder you cloned the repositor
|
|||
```
|
||||
now this editable install will reside where you clone the folder to, e.g. `~/transformers/` and python will search it too.
|
||||
|
||||
Do note that you have to keep that `transformers` folder around and not delete it to continue using the `transfomers` library.
|
||||
Do note that you have to keep that `transformers` folder around and not delete it to continue using the `transformers` library.
|
||||
|
||||
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:
|
||||
|
||||
|
|
|
|||
|
|
@ -131,7 +131,7 @@ directly create a PyTorch version of your TensorFlow model:
|
|||
|
||||
.. code-block:: python
|
||||
|
||||
from transfomers import AutoModel
|
||||
from transformers import AutoModel
|
||||
|
||||
model = AutoModel.from_pretrained(save_directory, from_tf=True)
|
||||
|
||||
|
|
|
|||
Loading…
Reference in a new issue