| Image processors preprocess vision inputs, feature extractors preprocess audio inputs, and a processor handles multimodal inputs. | |
| All these classes can be instantiated from pretrained instances, saved locally, and shared on the Hub with three methods: | |
| from_pretrained() lets you instantiate a model, configuration, and preprocessing class from a pretrained version either | |
| provided by the library itself (the supported models can be found on the Model Hub) or | |
| stored locally (or on a server) by the user. | |
| save_pretrained() lets you save a model, configuration, and preprocessing class locally so that it can be reloaded using | |
| from_pretrained(). | |
| push_to_hub() lets you share a model, configuration, and a preprocessing class to the Hub, so it is easily accessible to everyone. | |
| . |