

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__							=			{
    "configuration_wav2vec2_conformer": [
        "WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Wav2Vec2ConformerConfig",
    ],
}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCAmelCase__							=			[
          "WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
          "Wav2Vec2ConformerForAudioFrameClassification",
          "Wav2Vec2ConformerForCTC",
          "Wav2Vec2ConformerForPreTraining",
          "Wav2Vec2ConformerForSequenceClassification",
          "Wav2Vec2ConformerForXVector",
          "Wav2Vec2ConformerModel",
          "Wav2Vec2ConformerPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_wavaveca_conformer import (
          WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          WavaVecaConformerConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_wavaveca_conformer import (
                WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                WavaVecaConformerForAudioFrameClassification,
                WavaVecaConformerForCTC,
                WavaVecaConformerForPreTraining,
                WavaVecaConformerForSequenceClassification,
                WavaVecaConformerForXVector,
                WavaVecaConformerModel,
                WavaVecaConformerPreTrainedModel,
            )

else:
      import sys

      lowerCAmelCase__							=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


lowerCAmelCase__							=			{
    "configuration_xlm_prophetnet": ["XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "XLMProphetNetConfig"],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCAmelCase__							=			["XLMProphetNetTokenizer"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowerCAmelCase__							=			[
          "XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST",
          "XLMProphetNetDecoder",
          "XLMProphetNetEncoder",
          "XLMProphetNetForCausalLM",
          "XLMProphetNetForConditionalGeneration",
          "XLMProphetNetModel",
          "XLMProphetNetPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xlm_prophetnet import (
                XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                XLMProphetNetDecoder,
                XLMProphetNetEncoder,
                XLMProphetNetForCausalLM,
                XLMProphetNetForConditionalGeneration,
                XLMProphetNetModel,
                XLMProphetNetPreTrainedModel,
            )

else:
      import sys

      lowerCAmelCase__							=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



