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kwargs.pop("num_labels", None)
dict((int(key)
self.id2label.items()
kwargs.pop("num_labels", 2)
isinstance(self.torch_dtype, str)
is_torch_available()
getattr(torch, self.torch_dtype)
kwargs.pop("tokenizer_class", None)
kwargs.pop("prefix", None)
kwargs.pop("bos_token_id", None)
kwargs.pop("pad_token_id", None)
kwargs.pop("eos_token_id", None)
kwargs.pop("sep_token_id", None)
kwargs.pop("decoder_start_token_id", None)
kwargs.pop("task_specific_params", None)
kwargs.pop("problem_type", None)
kwargs.pop("xla_device", None)
str(kwargs.pop("name_or_path", "")
kwargs.pop("transformers_version", None)
kwargs.get("gradient_checkpointing", False)
model.gradient_checkpointing_enable()
kwargs.items()
setattr(self, key, value)
logger.error(f"Can't set {key} with value {value} for {self}")
name_or_path(self)
name_or_path(self, value)
str(value)
string (for JSON encoding)
use_return_dict(self)
num_labels(self)
len(self.id2label)
num_labels(self, num_labels: int)
hasattr(self, "id2label")
len(self.id2label)
range(num_labels)
dict(zip(self.id2label.values()
self.id2label.keys()
save_pretrained(self, save_directory: Union[str, os.PathLike], push_to_hub: bool = False, **kwargs)
save_directory (:obj:`str` or :obj:`os.PathLike`)
saved (will be created if it does not exist)
push_to_hub (:obj:`bool`, `optional`, defaults to :obj:`False`)
os.path.isfile(save_directory)
AssertionError(f"Provided path ({save_directory})
kwargs.pop("commit_message", None)
self._create_or_get_repo(save_directory, **kwargs)
os.makedirs(save_directory, exist_ok=True)
os.path.join(save_directory, CONFIG_NAME)
self.to_json_file(output_config_file, use_diff=True)
logger.info(f"Configuration saved in {output_config_file}")
self._push_to_hub(repo, commit_message=commit_message)
logger.info(f"Configuration pushed to the hub in this commit: {url}")
from_pretrained(cls, pretrained_model_name_or_path: Union[str, os.PathLike], **kwargs)
pretrained_model_name_or_path (:obj:`str` or :obj:`os.PathLike`)
cache_dir (:obj:`str` or :obj:`os.PathLike`, `optional`)
force_download (:obj:`bool`, `optional`, defaults to :obj:`False`)
to (re-)
resume_download (:obj:`bool`, `optional`, defaults to :obj:`False`)
proxies (:obj:`Dict[str, str]`, `optional`)
use_auth_token (:obj:`str` or `bool`, `optional`)
revision(:obj:`str`, `optional`, defaults to :obj:`"main"`)
return_unused_kwargs (:obj:`bool`, `optional`, defaults to :obj:`False`)
Tuple(config, unused_kwargs)
kwargs (:obj:`Dict[str, Any]`, `optional`)
BertConfig.from_pretrained('bert-base-uncased')
BertConfig.from_pretrained('./test/saved_model/')
config (or model)
save_pretrained('./test/saved_model/')
BertConfig.from_pretrained('./test/saved_model/my_configuration.json')
BertConfig.from_pretrained('bert-base-uncased', output_attentions=True, foo=False)
cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
hasattr(cls, "model_type")
cls.from_dict(config_dict, **kwargs)
pretrained_model_name_or_path (:obj:`str` or :obj:`os.PathLike`)
dictionary(ies)
kwargs.pop("cache_dir", None)
kwargs.pop("force_download", False)
kwargs.pop("resume_download", False)
kwargs.pop("proxies", None)
kwargs.pop("use_auth_token", None)
kwargs.pop("local_files_only", False)
kwargs.pop("revision", None)
kwargs.pop("_from_pipeline", None)
kwargs.pop("_from_auto", False)
is_offline_mode()
logger.info("Offline mode: forcing local_files_only=True")
str(pretrained_model_name_or_path)
os.path.isdir(pretrained_model_name_or_path)
os.path.join(pretrained_model_name_or_path, CONFIG_NAME)
os.path.isfile(pretrained_model_name_or_path)
is_remote_url(pretrained_model_name_or_path)
cls._dict_from_json_file(resolved_config_file)
logger.error(err)
identifier (branch name, a tag name, or a commit id)
EnvironmentError(msg)
except (json.JSONDecodeError, UnicodeDecodeError)
EnvironmentError(msg)
logger.info(f"loading configuration file {config_file}")
logger.info(f"loading configuration file {config_file} from cache at {resolved_config_file}")
from_dict(cls, config_dict: Dict[str, Any], **kwargs)
config_dict (:obj:`Dict[str, Any]`)