SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Fix typos (#25936)

Browse Source 
* fix typo

* fix typo

* fix typo

* fix typos

* fix typos

* fix typo

* fix typo

* fix typo

* fix typos

* fix typo

* fix typo

* fix typo

* fix typos

* fix typos
This commit is contained in:
omahs
2023-09-04 12:15:12 +02:00
committed by GitHub
parent b1d475f6d2
commit 0f0e1a2c2b
14 changed files with 28 additions and 28 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/source/en/model_sharing.md
View File

@@ -95,7 +95,7 @@ Specify `from_pt=True` to convert a checkpoint from PyTorch to TensorFlow:
>>> tf_model = TFDistilBertForSequenceClassification.from_pretrained("path/to/awesome-name-you-picked", from_pt=True)
```
Then you can save your new TensorFlow model with it's new checkpoint:
Then you can save your new TensorFlow model with its new checkpoint:
```py
>>> tf_model.save_pretrained("path/to/awesome-name-you-picked")
@@ -201,7 +201,7 @@ Or perhaps you'd like to add the TensorFlow version of your fine-tuned PyTorch m
>>> tf_model.push_to_hub("my-awesome-model")
```
Now when you navigate to the your Hugging Face profile, you should see your newly created model repository. Clicking on the **Files** tab will display all the files you've uploaded to the repository.
Now when you navigate to your Hugging Face profile, you should see your newly created model repository. Clicking on the **Files** tab will display all the files you've uploaded to the repository.
For more details on how to create and upload files to a repository, refer to the Hub documentation [here](https://huggingface.co/docs/hub/how-to-upstream).