




'''simple docstring'''

from arguments import InitializationArguments

from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser


# Configuration
a  :				Dict									=  HfArgumentParser(InitializationArguments)
a  :				Union[str, Any]									=  parser.parse_args()

# Load codeparrot tokenizer trained for Python code tokenization
a  :				int									=  AutoTokenizer.from_pretrained(args.tokenizer_name)

# Config: "scale_attn_by_layer_idx" and "reorder_and_upcast_attn" are Mistral stability tweaks
a  :				str									=  {
    'vocab_size': len(tokenizer),
    'scale_attn_by_inverse_layer_idx': True,
    'reorder_and_upcast_attn': True,
}

# Load model config (GPT-2 large in this case)
a  :				int									=  AutoConfig.from_pretrained(args.config_name, **config_kwargs)

# Initialize new model with config
a  :				Tuple									=  AutoModelForCausalLM.from_config(config)

# Save model to the hub
model.save_pretrained(args.model_name, push_to_hub=args.push_to_hub)






'''simple docstring'''





import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def        a_     (							*_lowerCAmelCase       ,_lowerCAmelCase = None       ,_lowerCAmelCase=True       ,_lowerCAmelCase=2       )      ->      List[str]:
  from .. import __version__

  __lowerCamelCase       :       Any           = take_from
  __lowerCamelCase       :       Optional[int]           = ()
  if not isinstance(args[0]       ,_lowerCAmelCase       ):
    __lowerCamelCase       :       Optional[Any]           = (args,)

  for attribute, version_name, message in args:
    if version.parse(version.parse(_lowerCAmelCase       ).base_version       ) >= version.parse(_lowerCAmelCase       ):
      raise ValueError(
          F'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
          F' version {__version__} is >= {version_name}'       )

    __lowerCamelCase       :       Union[str, Any]           = None
    if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and attribute in deprecated_kwargs:
      values += (deprecated_kwargs.pop(_lowerCAmelCase       ),)
      __lowerCamelCase       :       Optional[Any]           = F'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
    elif hasattr(_lowerCAmelCase       ,_lowerCAmelCase       ):
      values += (getattr(_lowerCAmelCase       ,_lowerCAmelCase       ),)
      __lowerCamelCase       :       List[str]           = F'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
    elif deprecated_kwargs is None:
      __lowerCamelCase       :       Optional[Any]           = F'`{attribute}` is deprecated and will be removed in version {version_name}.'

    if warning is not None:
      __lowerCamelCase       :       Optional[int]           = warning + ' ' if standard_warn else ''
      warnings.warn(warning + message       ,_lowerCAmelCase       ,stacklevel=_lowerCAmelCase       )

  if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and len(_lowerCAmelCase       ) > 0:
    __lowerCamelCase       :       Optional[Any]           = inspect.getouterframes(inspect.currentframe()       )[1]
    __lowerCamelCase       :       List[str]           = call_frame.filename
    __lowerCamelCase       :       int           = call_frame.lineno
    __lowerCamelCase       :       Union[str, Any]           = call_frame.function
    __lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = next(iter(deprecated_kwargs.items()       )       )
    raise TypeError(F'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

  if len(_lowerCAmelCase       ) == 0:
    return
  elif len(_lowerCAmelCase       ) == 1:
    return values[0]
  return values






