[doc] Clarify uploads

cf 855ff0e91d (commitcomment-36452545)
This commit is contained in:
Julien Chaumond
2019-12-16 18:20:23 -05:00
parent 3cb51299c3
commit 3f5ccb183e
2 changed files with 11 additions and 11 deletions

View File

@@ -464,21 +464,21 @@ transformers-cli upload ./path/to/pretrained_model/
# ^^ Upload folder containing weights/tokenizer/config # ^^ Upload folder containing weights/tokenizer/config
# saved via `.save_pretrained()` # saved via `.save_pretrained()`
transformers-cli upload ./config.json [--filename foobar.json] transformers-cli upload ./config.json [--filename folder/foobar.json]
# ^^ Upload a single file # ^^ Upload a single file
# (you can optionally override its filename) # (you can optionally override its filename, which can be nested inside a folder)
``` ```
Your model will then be accessible through its identifier: Your model will then be accessible through its identifier, a concatenation of your username and the folder name above:
```python ```python
"username/model_name" "username/model_name"
``` ```
Anyone can load it from code: Anyone can load it from code:
```python ```python
tokenizer = AutoTokenizer.from_pretrained("username/model_name") tokenizer = AutoTokenizer.from_pretrained("username/pretrained_model")
model = AutoModel.from_pretrained("username/model_name") model = AutoModel.from_pretrained("username/pretrained_model")
``` ```
Finally, list all your files on S3: Finally, list all your files on S3:

View File

@@ -15,21 +15,21 @@ transformers-cli upload ./path/to/pretrained_model/
# ^^ Upload folder containing weights/tokenizer/config # ^^ Upload folder containing weights/tokenizer/config
# saved via `.save_pretrained()` # saved via `.save_pretrained()`
transformers-cli upload ./config.json [--filename foobar.json] transformers-cli upload ./config.json [--filename folder/foobar.json]
# ^^ Upload a single file # ^^ Upload a single file
# (you can optionally override its filename) # (you can optionally override its filename, which can be nested inside a folder)
``` ```
Your model will then be accessible through its identifier: Your model will then be accessible through its identifier, a concatenation of your username and the folder name above:
```python ```python
"username/model_name" "username/pretrained_model"
``` ```
Anyone can load it from code: Anyone can load it from code:
```python ```python
tokenizer = AutoTokenizer.from_pretrained("username/model_name") tokenizer = AutoTokenizer.from_pretrained("username/pretrained_model")
model = AutoModel.from_pretrained("username/model_name") model = AutoModel.from_pretrained("username/pretrained_model")
``` ```
Finally, list all your files on S3: Finally, list all your files on S3: