
from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def 				a						(							snake_case__:					Tuple					):


				'''simple docstring'''
				return DownloadCommand(args.model						,   args.cache_dir						,   args.force						,   args.trust_remote_code					)


class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	@staticmethod
	def 						_lowercase  (       SCREAMING_SNAKE_CASE_  :			ArgumentParser       )       ->     int:
					lowercase_       =					parser.add_parser('''download'''       )
					download_parser.add_argument(
					    '''--cache-dir'''       ,							type=SCREAMING_SNAKE_CASE_       ,							default=SCREAMING_SNAKE_CASE_       ,							help='''Path to location to store the models'''       )
					download_parser.add_argument(
					    '''--force'''       ,							action='''store_true'''       ,							help='''Force the model to be download even if already in cache-dir'''       )
					download_parser.add_argument(
					    '''--trust-remote-code'''       ,							action='''store_true'''       ,							help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''       ,							)
					download_parser.add_argument('''model'''       ,							type=SCREAMING_SNAKE_CASE_       ,							help='''Name of the model to download'''       )
					download_parser.set_defaults(func=SCREAMING_SNAKE_CASE_       )
	def __init__(       self  :			str       ,							SCREAMING_SNAKE_CASE_  :			str       ,							SCREAMING_SNAKE_CASE_  :			str       ,							SCREAMING_SNAKE_CASE_  :			bool       ,							SCREAMING_SNAKE_CASE_  :			bool       )       ->     Optional[Any]:
					lowercase_       =					model
					lowercase_       =					cache
					lowercase_       =					force
					lowercase_       =					trust_remote_code




	def 						_lowercase  (       self  :			Union[str, Any]       )       ->     Union[str, Any]:
					from ..models.auto import AutoModel, AutoTokenizer

					AutoModel.from_pretrained(
					    self._model       ,							cache_dir=self._cache       ,							force_download=self._force       ,							trust_remote_code=self._trust_remote_code       )
					AutoTokenizer.from_pretrained(
					    self._model       ,							cache_dir=self._cache       ,							force_download=self._force       ,							trust_remote_code=self._trust_remote_code       )







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase_       	=	{'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''XGLMTokenizer''']

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''XGLMTokenizerFast''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''XGLMForCausalLM''',
					    '''XGLMModel''',
					    '''XGLMPreTrainedModel''',
					]


try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''FlaxXGLMForCausalLM''',
					    '''FlaxXGLMModel''',
					    '''FlaxXGLMPreTrainedModel''',
					]


try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFXGLMForCausalLM''',
					    '''TFXGLMModel''',
					    '''TFXGLMPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_xglm import XGLMTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_xglm_fast import XGLMTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_xglm import (
										    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFXGLMForCausalLM,
										    TFXGLMModel,
										    TFXGLMPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_       	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure)