Above, a `logger` instance is created from `logging.get_logger(__name__)`. If you want to use `logging` in a script, you shouldn't pass `__name__` to `logging.get_logger`. For example:
```python
from transformers.utils import logging
if __name__ == "__main__":
logging.set_verbosity_info()
# leave it empy or use a string
logger = logging.get_logger()
logger.info("INFO")
logger.warning("WARN")
```
All the methods of this logging module are documented below, the main ones are
All the methods of this logging module are documented below, the main ones are
[`logging.get_verbosity`] to get the current level of verbosity in the logger and
[`logging.get_verbosity`] to get the current level of verbosity in the logger and
[`logging.set_verbosity`] to set the verbosity to the level of your choice. In order (from the least
[`logging.set_verbosity`] to set the verbosity to the level of your choice. In order (from the least
...
@@ -77,7 +54,7 @@ verbose to the most verbose), those levels (with their corresponding int values
...
@@ -77,7 +54,7 @@ verbose to the most verbose), those levels (with their corresponding int values
- `transformers.logging.DEBUG` (int value, 10): report all information.
- `transformers.logging.DEBUG` (int value, 10): report all information.
By default, `tqdm` progress bars will be displayed during model download. [`logging.disable_progress_bar`] and [`logging.enable_progress_bar`] can be used to suppress or unsuppress this behavior.
By default, `tqdm` progress bars will be displayed during model download. [`logging.disable_progress_bar`] and [`logging.enable_progress_bar`] can be used to suppress or unsuppress this behavior.