text stringlengths 31 243k | type stringclasses 1
value | start int64 36 275k | end int64 286 280k | depth int64 0 1 | filepath stringlengths 85 188 | parent_class stringclasses 3
values | class_index int64 0 10.8k |
|---|---|---|---|---|---|---|---|
class QuantizationMethod(str, Enum):
BITS_AND_BYTES = "bitsandbytes"
GPTQ = "gptq"
AWQ = "awq"
AQLM = "aqlm"
VPTQ = "vptq"
QUANTO = "quanto"
EETQ = "eetq"
HIGGS = "higgs"
HQQ = "hqq"
COMPRESSED_TENSORS = "compressed-tensors"
FBGEMM_FP8 = "fbgemm_fp8"
TORCHAO = "torchao"
... | class_definition | 1,188 | 1,528 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,600 |
class AWQLinearVersion(str, Enum):
GEMM = "gemm"
GEMV = "gemv"
EXLLAMA = "exllama"
IPEX = "ipex"
@staticmethod
def from_str(version: str):
version = version.lower()
if version == "gemm":
return AWQLinearVersion.GEMM
elif version == "gemv":
return ... | class_definition | 1,531 | 2,106 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,601 |
class AwqBackendPackingMethod(str, Enum):
AUTOAWQ = "autoawq"
LLMAWQ = "llm-awq" | class_definition | 2,109 | 2,197 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,602 |
class QuantizationConfigMixin:
"""
Mixin class for quantization config
"""
quant_method: QuantizationMethod
@classmethod
def from_dict(cls, config_dict, return_unused_kwargs=False, **kwargs):
"""
Instantiates a [`QuantizationConfigMixin`] from a Python dictionary of parameters.... | class_definition | 2,211 | 6,496 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,603 |
class HqqConfig(QuantizationConfigMixin):
"""
This is wrapper around hqq's BaseQuantizeConfig.
Args:
nbits (`int`, *optional*, defaults to 4):
Number of bits. Supported values are (8, 4, 3, 2, 1).
group_size (`int`, *optional*, defaults to 64):
Group-size value. Supp... | class_definition | 6,510 | 11,351 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,604 |
class BitsAndBytesConfig(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using `bitsandbytes`.
This replaces `load_in_8bit` or `load_in_4bit`therefore both options are mutually exclusive.
Currently... | class_definition | 11,365 | 22,729 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,605 |
class ExllamaVersion(int, Enum):
ONE = 1
TWO = 2 | class_definition | 22,732 | 22,788 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,606 |
class GPTQConfig(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using `optimum` api for gptq quantization relying on auto_gptq backend.
Args:
bits (`int`):
The number of bits to qua... | class_definition | 22,802 | 36,844 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,607 |
class AwqConfig(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using `auto-awq` library awq quantization relying on auto_awq backend.
Args:
bits (`int`, *optional*, defaults to 4):
... | class_definition | 36,858 | 45,405 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,608 |
class AqlmConfig(QuantizationConfigMixin):
"""
This is a wrapper class about `aqlm` parameters.
Args:
in_group_size (`int`, *optional*, defaults to 8):
The group size along the input dimension.
out_group_size (`int`, *optional*, defaults to 1):
The group size along t... | class_definition | 45,419 | 47,976 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,609 |
class VptqLayerConfig(QuantizationConfigMixin):
"""
This is used to explain vptq config params for each layer
Args:
enable_norm (`bool`, *optional*, defaults to `True`): to control if we have scale/bias for fp-weight
enable_perm (`bool`, *optional*, defaults to `True`): to perm input_channel... | class_definition | 47,990 | 50,267 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,610 |
class VptqConfig(QuantizationConfigMixin):
"""
This is a wrapper class about `vptq` parameters.
Args:
enable_proxy_error (`bool`, *optional*, defaults to `False`): calculate proxy error for each layer
config_for_layers (`Dict`, *optional*, defaults to `{}`): quantization params for each lay... | class_definition | 50,281 | 52,092 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,611 |
class QuantoConfig(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using `quanto`.
Args:
weights (`str`, *optional*, defaults to `"int8"`):
The target dtype for the weights after qua... | class_definition | 52,106 | 53,859 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,612 |
class EetqConfig(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using `eetq`.
Args:
weights (`str`, *optional*, defaults to `"int8"`):
The target dtype for the weights. Supported va... | class_definition | 53,873 | 55,060 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,613 |
class CompressedTensorsConfig(QuantizationConfigMixin):
"""
This is a wrapper class that handles compressed-tensors quantization config options.
It is a wrapper around `compressed_tensors.QuantizationConfig`
Args:
config_groups (`typing.Dict[str, typing.Union[ForwardRef('QuantizationScheme'), ty... | class_definition | 55,063 | 61,496 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,614 |
class FbgemmFp8Config(QuantizationConfigMixin):
"""
This is a wrapper class about all possible attributes and features that you can play with a model that has been
loaded using fbgemm fp8 quantization.
Args:
activation_scale_ub (`float`, *optional*, defaults to 1200.0):
The activati... | class_definition | 61,510 | 62,767 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,615 |
class HiggsConfig(QuantizationConfigMixin):
"""
HiggsConfig is a configuration class for quantization using the HIGGS method.
Args:
bits (int, *optional*, defaults to 4):
Number of bits to use for quantization. Can be 2, 3 or 4. Default is 4.
p (int, *optional*, defaults to 2):
... | class_definition | 62,781 | 65,034 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,616 |
class TorchAoConfig(QuantizationConfigMixin):
"""This is a config class for torchao quantization/sparsity techniques.
Args:
quant_type (`str`):
The type of quantization we want to use, currently supporting: `int4_weight_only`, `int8_weight_only` and `int8_dynamic_activation_int8_weight`.
... | class_definition | 65,048 | 69,292 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,617 |
class BitNetConfig(QuantizationConfigMixin):
def __init__(
self,
modules_to_not_convert: Optional[List] = None,
**kwargs,
):
self.quant_method = QuantizationMethod.BITNET
self.modules_to_not_convert = modules_to_not_convert
self.post_init()
def post_init(self... | class_definition | 69,306 | 69,716 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/quantization_config.py | null | 2,618 |
class TimmWrapperImageProcessor(metaclass=DummyObject):
_backends = ["timm", "torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["timm", "torchvision"]) | class_definition | 129 | 323 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_timm_and_torchvision_objects.py | null | 2,619 |
class FlaxForcedBOSTokenLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 129 | 301 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,620 |
class FlaxForcedEOSTokenLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 304 | 476 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,621 |
class FlaxForceTokensLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 479 | 648 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,622 |
class FlaxGenerationMixin(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 651 | 809 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,623 |
class FlaxLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 812 | 970 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,624 |
class FlaxLogitsProcessorList(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 973 | 1,135 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,625 |
class FlaxLogitsWarper(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,138 | 1,293 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,626 |
class FlaxMinLengthLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,296 | 1,463 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,627 |
class FlaxSuppressTokensAtBeginLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,466 | 1,645 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,628 |
class FlaxSuppressTokensLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,648 | 1,820 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,629 |
class FlaxTemperatureLogitsWarper(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,823 | 1,989 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,630 |
class FlaxTopKLogitsWarper(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 1,992 | 2,151 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,631 |
class FlaxTopPLogitsWarper(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,154 | 2,313 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,632 |
class FlaxWhisperTimeStampLogitsProcessor(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,316 | 2,490 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,633 |
class FlaxPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,493 | 2,651 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,634 |
class FlaxAlbertForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,654 | 2,814 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,635 |
class FlaxAlbertForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,817 | 2,983 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,636 |
class FlaxAlbertForPreTraining(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 2,986 | 3,149 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,637 |
class FlaxAlbertForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 3,152 | 3,321 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,638 |
class FlaxAlbertForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 3,324 | 3,498 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,639 |
class FlaxAlbertForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 3,501 | 3,672 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,640 |
class FlaxAlbertModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 3,675 | 3,829 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,641 |
class FlaxAlbertPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 3,832 | 3,996 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,642 |
class FlaxAutoModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 4,673 | 4,825 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,643 |
class FlaxAutoModelForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 4,828 | 4,991 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,644 |
class FlaxAutoModelForImageClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 4,994 | 5,168 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,645 |
class FlaxAutoModelForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 5,171 | 5,334 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,646 |
class FlaxAutoModelForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 5,337 | 5,506 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,647 |
class FlaxAutoModelForNextSentencePrediction(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 5,509 | 5,686 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,648 |
class FlaxAutoModelForPreTraining(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 5,689 | 5,855 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,649 |
class FlaxAutoModelForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 5,858 | 6,030 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,650 |
class FlaxAutoModelForSeq2SeqLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,033 | 6,197 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,651 |
class FlaxAutoModelForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,200 | 6,377 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,652 |
class FlaxAutoModelForSpeechSeq2Seq(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,380 | 6,548 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,653 |
class FlaxAutoModelForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,551 | 6,725 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,654 |
class FlaxAutoModelForVision2Seq(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,728 | 6,893 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,655 |
class FlaxBartDecoderPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 6,896 | 7,065 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,656 |
class FlaxBartForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,068 | 7,226 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,657 |
class FlaxBartForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,229 | 7,400 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,658 |
class FlaxBartForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,403 | 7,570 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,659 |
class FlaxBartForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,573 | 7,745 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,660 |
class FlaxBartModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,748 | 7,900 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,661 |
class FlaxBartPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 7,903 | 8,065 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,662 |
class FlaxBeitForImageClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,068 | 8,237 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,663 |
class FlaxBeitForMaskedImageModeling(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,240 | 8,409 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,664 |
class FlaxBeitModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,412 | 8,564 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,665 |
class FlaxBeitPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,567 | 8,729 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,666 |
class FlaxBertForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,732 | 8,890 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,667 |
class FlaxBertForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 8,893 | 9,051 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,668 |
class FlaxBertForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,054 | 9,218 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,669 |
class FlaxBertForNextSentencePrediction(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,221 | 9,393 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,670 |
class FlaxBertForPreTraining(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,396 | 9,557 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,671 |
class FlaxBertForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,560 | 9,727 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,672 |
class FlaxBertForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,730 | 9,902 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,673 |
class FlaxBertForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 9,905 | 10,074 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,674 |
class FlaxBertModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,077 | 10,229 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,675 |
class FlaxBertPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,232 | 10,394 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,676 |
class FlaxBigBirdForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,397 | 10,558 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,677 |
class FlaxBigBirdForMaskedLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,561 | 10,722 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,678 |
class FlaxBigBirdForMultipleChoice(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,725 | 10,892 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,679 |
class FlaxBigBirdForPreTraining(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 10,895 | 11,059 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,680 |
class FlaxBigBirdForQuestionAnswering(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,062 | 11,232 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,681 |
class FlaxBigBirdForSequenceClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,235 | 11,410 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,682 |
class FlaxBigBirdForTokenClassification(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,413 | 11,585 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,683 |
class FlaxBigBirdModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,588 | 11,743 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,684 |
class FlaxBigBirdPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,746 | 11,911 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,685 |
class FlaxBlenderbotForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 11,914 | 12,091 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,686 |
class FlaxBlenderbotModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,094 | 12,252 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,687 |
class FlaxBlenderbotPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,255 | 12,423 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,688 |
class FlaxBlenderbotSmallForConditionalGeneration(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,426 | 12,608 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,689 |
class FlaxBlenderbotSmallModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,611 | 12,774 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,690 |
class FlaxBlenderbotSmallPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,777 | 12,950 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,691 |
class FlaxBloomForCausalLM(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 12,953 | 13,112 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,692 |
class FlaxBloomModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,115 | 13,268 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,693 |
class FlaxBloomPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,271 | 13,434 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,694 |
class FlaxCLIPModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,437 | 13,589 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,695 |
class FlaxCLIPPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,592 | 13,754 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,696 |
class FlaxCLIPTextModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,757 | 13,913 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,697 |
class FlaxCLIPTextModelWithProjection(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 13,916 | 14,086 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,698 |
class FlaxCLIPTextPreTrainedModel(metaclass=DummyObject):
_backends = ["flax"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"]) | class_definition | 14,089 | 14,255 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_flax_objects.py | null | 2,699 |
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