text stringlengths 1 1.02k | class_index int64 0 10.8k | source stringlengths 85 188 |
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class FlaxEncoderDecoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,721 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGemmaForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,722 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGemmaModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,723 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGemmaPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,724 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPT2LMHeadModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,725 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPT2Model(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,726 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPT2PreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,727 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTNeoForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,728 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTNeoModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,729 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTNeoPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,730 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTJForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,731 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTJModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,732 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxGPTJPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,733 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLlamaForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,734 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLlamaModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,735 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLlamaPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,736 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLongT5ForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,737 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLongT5Model(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,738 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxLongT5PreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,739 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMarianModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,740 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMarianMTModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,741 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMarianPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,742 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMBartForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,743 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMBartForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,744 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMBartForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,745 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMBartModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,746 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMBartPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,747 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMistralForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,748 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMistralModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,749 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMistralPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,750 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMT5EncoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,751 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMT5ForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,752 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxMT5Model(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,753 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxOPTForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,754 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxOPTModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,755 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxOPTPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,756 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxPegasusForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,757 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxPegasusModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,758 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxPegasusPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,759 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRegNetForImageClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,760 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRegNetModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,761 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRegNetPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,762 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxResNetForImageClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,763 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxResNetModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,764 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxResNetPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,765 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,766 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,767 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,768 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,769 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,770 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,771 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,772 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,773 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,774 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,775 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,776 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,777 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,778 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,779 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,780 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRobertaPreLayerNormPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,781 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,782 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,783 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,784 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,785 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,786 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,787 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxRoFormerPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,788 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxSpeechEncoderDecoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,789 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxT5EncoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,790 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxT5ForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,791 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxT5Model(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,792 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxT5PreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,793 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxVisionEncoderDecoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,794 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxVisionTextDualEncoderModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,795 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxViTForImageClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,796 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxViTModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,797 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxViTPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,798 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWav2Vec2ForCTC(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,799 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWav2Vec2ForPreTraining(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,800 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWav2Vec2Model(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,801 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWav2Vec2PreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,802 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWhisperForAudioClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,803 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWhisperForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,804 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWhisperModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,805 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxWhisperPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,806 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXGLMForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,807 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXGLMModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,808 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXGLMPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,809 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,810 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,811 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,812 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,813 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,814 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,815 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,816 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class FlaxXLMRobertaPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | 2,817 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py |
class NllbMoeConfig(PretrainedConfig):
r"""
This is the configuration class to store the configuration of a [`NllbMoeModel`]. It is used to instantiate an
NLLB-MoE model according to the specified arguments, defining the model architecture. Instantiating a configuration
with the defaults will yield a similar configuration to that of the NLLB-MoE
[facebook/nllb-moe-54b](https://huggingface.co/facebook/nllb-moe-54b) architecture.
Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
documentation from [`PretrainedConfig`] for more information. | 2,818 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/nllb_moe/configuration_nllb_moe.py |
Args:
vocab_size (`int`, *optional*, defaults to 50265):
Vocabulary size of the NllbMoe model. Defines the number of different tokens that can be represented by the
`inputs_ids` passed when calling [`NllbMoeModel`] or
d_model (`int`, *optional*, defaults to 1024):
Dimensionality of the layers and the pooler layer.
encoder_layers (`int`, *optional*, defaults to 12):
Number of encoder layers.
decoder_layers (`int`, *optional*, defaults to 12):
Number of decoder layers.
encoder_attention_heads (`int`, *optional*, defaults to 16):
Number of attention heads for each attention layer in the Transformer encoder.
decoder_attention_heads (`int`, *optional*, defaults to 16):
Number of attention heads for each attention layer in the Transformer decoder.
decoder_ffn_dim (`int`, *optional*, defaults to 4096): | 2,818 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/nllb_moe/configuration_nllb_moe.py |
Dimensionality of the "intermediate" (often named feed-forward) layer in decoder.
encoder_ffn_dim (`int`, *optional*, defaults to 4096):
Dimensionality of the "intermediate" (often named feed-forward) layer in encoder.
activation_function (`str` or `function`, *optional*, defaults to `"gelu"`):
The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`,
`"relu"`, `"silu"` and `"gelu_new"` are supported.
dropout (`float`, *optional*, defaults to 0.1):
The dropout probability for all fully connected layers in the embeddings, encoder, and pooler.
attention_dropout (`float`, *optional*, defaults to 0.0):
The dropout ratio for the attention probabilities.
activation_dropout (`float`, *optional*, defaults to 0.0):
The dropout ratio for activations inside the fully connected layer.
classifier_dropout (`float`, *optional*, defaults to 0.0): | 2,818 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/models/nllb_moe/configuration_nllb_moe.py |
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