# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..file_utils import requires_backends
[docs]class FlaxPreTrainedModel:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
FLAX_MODEL_FOR_MASKED_LM_MAPPING = None
FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING = None
FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING = None
FLAX_MODEL_FOR_PRETRAINING_MAPPING = None
FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING = None
FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING = None
FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING = None
FLAX_MODEL_MAPPING = None
[docs]class FlaxAutoModel:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxAutoModelForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxAutoModelForPreTraining:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxAutoModelForQuestionAnswering:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxAutoModelForSequenceClassification:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxAutoModelForTokenClassification:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertForNextSentencePrediction:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertForPreTraining:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertForQuestionAnswering:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertForSequenceClassification:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertForTokenClassification:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxBertModel:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
class FlaxBertPreTrainedModel:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])
[docs]class FlaxRobertaModel:
def __init__(self, *args, **kwargs):
requires_backends(self, ["flax"])
@classmethod
def from_pretrained(self, *args, **kwargs):
requires_backends(self, ["flax"])