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 RealmTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,088 | 3,257 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,500 |
class RetriBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,260 | 3,433 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,501 |
class DistilBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,436 | 3,610 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,502 |
class DPRContextEncoderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,613 | 3,794 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,503 |
class DPRQuestionEncoderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,797 | 3,979 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,504 |
class DPRReaderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 3,982 | 4,155 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,505 |
class ElectraTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 4,158 | 4,329 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,506 |
class FNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 4,332 | 4,500 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,507 |
class FunnelTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 4,503 | 4,673 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,508 |
class GemmaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 4,676 | 4,845 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,509 |
class GPT2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 4,848 | 5,016 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,510 |
class GPTNeoXTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,019 | 5,190 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,511 |
class GPTNeoXJapaneseTokenizer(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,193 | 5,368 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,512 |
class HerbertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,371 | 5,542 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,513 |
class LayoutLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,545 | 5,717 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,514 |
class LayoutLMv2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,720 | 5,894 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,515 |
class LayoutLMv3TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 5,897 | 6,071 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,516 |
class LayoutXLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,074 | 6,247 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,517 |
class LEDTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,250 | 6,417 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,518 |
class LlamaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,420 | 6,589 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,519 |
class LongformerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,592 | 6,766 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,520 |
class LxmertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,769 | 6,939 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,521 |
class MarkupLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 6,942 | 7,114 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,522 |
class MBartTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,117 | 7,286 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,523 |
class MBart50TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,289 | 7,460 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,524 |
class MobileBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,463 | 7,637 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,525 |
class MPNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,640 | 7,809 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,526 |
class MT5TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,812 | 7,979 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,527 |
class MvpTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 7,982 | 8,149 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,528 |
class NllbTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 8,152 | 8,320 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,529 |
class NougatTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 8,323 | 8,493 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,530 |
class OpenAIGPTTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 8,496 | 8,669 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,531 |
class PegasusTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 8,672 | 8,843 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,532 |
class Qwen2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 8,846 | 9,015 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,533 |
class ReformerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,018 | 9,190 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,534 |
class RemBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,193 | 9,364 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,535 |
class RobertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,367 | 9,538 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,536 |
class RoFormerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,541 | 9,713 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,537 |
class SeamlessM4TTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,716 | 9,891 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,538 |
class SplinterTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 9,894 | 10,066 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,539 |
class SqueezeBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,069 | 10,244 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,540 |
class T5TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,247 | 10,413 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,541 |
class UdopTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,416 | 10,584 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,542 |
class WhisperTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,587 | 10,758 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,543 |
class XGLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,761 | 10,929 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,544 |
class XLMRobertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 10,932 | 11,106 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,545 |
class XLNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 11,109 | 11,278 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,546 |
class PreTrainedTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | class_definition | 11,281 | 11,455 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py | null | 2,547 |
class AlbertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 129 | 301 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,548 |
class BarthezTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 304 | 477 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,549 |
class BartphoTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 480 | 653 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,550 |
class BertGenerationTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 656 | 836 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,551 |
class BigBirdTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 839 | 1,012 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,552 |
class CamembertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,015 | 1,190 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,553 |
class CodeLlamaTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,193 | 1,368 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,554 |
class CpmTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,371 | 1,540 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,555 |
class DebertaV2Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,543 | 1,718 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,556 |
class ErnieMTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,721 | 1,893 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,557 |
class XLMProphetNetTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 1,896 | 2,075 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,558 |
class FNetTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,078 | 2,248 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,559 |
class GemmaTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,251 | 2,422 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,560 |
class GPTSw3Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,425 | 2,597 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,561 |
class LayoutXLMTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,600 | 2,775 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,562 |
class LlamaTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,778 | 2,949 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,563 |
class M2M100Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 2,952 | 3,124 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,564 |
class MarianTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,127 | 3,299 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,565 |
class MBartTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,302 | 3,473 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,566 |
class MBart50Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,476 | 3,649 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,567 |
class MLukeTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,652 | 3,823 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,568 |
class MT5Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,826 | 3,995 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,569 |
class NllbTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 3,998 | 4,168 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,570 |
class PegasusTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 4,171 | 4,344 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,571 |
class PLBartTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 4,347 | 4,519 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,572 |
class ReformerTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 4,522 | 4,696 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,573 |
class RemBertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 4,699 | 4,872 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,574 |
class SeamlessM4TTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 4,875 | 5,052 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,575 |
class SiglipTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,055 | 5,227 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,576 |
class Speech2TextTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,230 | 5,407 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,577 |
class SpeechT5Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,410 | 5,584 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,578 |
class T5Tokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,587 | 5,755 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,579 |
class UdopTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,758 | 5,928 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,580 |
class XGLMTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 5,931 | 6,101 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,581 |
class XLMRobertaTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 6,104 | 6,280 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,582 |
class XLNetTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | class_definition | 6,283 | 6,454 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py | null | 2,583 |
class TFBertTokenizer(metaclass=DummyObject):
_backends = ["tensorflow_text"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tensorflow_text"]) | class_definition | 129 | 305 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tensorflow_text_objects.py | null | 2,584 |
class Pop2PianoFeatureExtractor(metaclass=DummyObject):
_backends = ["music"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["music"]) | class_definition | 129 | 295 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_music_objects.py | null | 2,585 |
class Pop2PianoTokenizer(metaclass=DummyObject):
_backends = ["music"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["music"]) | class_definition | 298 | 457 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_music_objects.py | null | 2,586 |
class HFProxy(Proxy):
"""
Proxy that uses metadata to handle data-dependent control-flow.
"""
def install_metadata(self, metadata):
self._metadata = metadata
@property
def shape(self):
return self.tracer.create_proxy("call_method", "size", (self,), {})
@property
def de... | class_definition | 19,690 | 21,141 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,587 |
class HFAttribute(HFProxy):
def __init__(self, root, attr: str):
self.root = root
self.attr = attr
self.tracer = root.tracer
self._node = None
if hasattr(self.root, "_metadata"):
self.install_metadata(getattr(self.root._metadata, attr))
@property
def nod... | class_definition | 21,144 | 21,920 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,588 |
class MetaDeviceAttribute(HFAttribute):
pass | class_definition | 21,923 | 21,971 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,589 |
class HFCacheProxy(HFProxy):
"""
Proxy that represents an instance of `transformers.cache_utils.Cache`.
"""
def install_orig_cache_cls(self, orig_cache_cls: Type[Cache]):
self._orig_cache_cls = orig_cache_cls
@property
def __class__(self):
if not hasattr(self, "_orig_cache_cls"... | class_definition | 21,974 | 22,461 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,590 |
class HFProxyableClassMeta(type):
"""
Metaclass that creates a class with its main methods wrapped to be proxyable.
"""
def __new__(
cls,
name: str,
bases: Tuple[Type, ...],
attrs: Dict[str, Any],
proxy_factory_fn: Optional[Callable[[Node], Proxy]] = None,
):... | class_definition | 23,668 | 24,715 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,591 |
class HFTracer(Tracer):
"""
Tracer that is able to symbolically trace models from the library. To do that, it uses the HFProxy instead of the
regular PyTorch torch.fx.Proxy.
"""
# Feature flag for proxying accesses to buffer values
proxy_buffer_attributes: bool = True
allow_insert_stateless... | class_definition | 26,952 | 53,738 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/fx.py | null | 2,592 |
class NotebookProgressBar:
"""
A progress par for display in a notebook.
Class attributes (overridden by derived classes)
- **warmup** (`int`) -- The number of iterations to do at the beginning while ignoring `update_every`.
- **update_every** (`float`) -- Since calling the time takes some... | class_definition | 1,908 | 8,262 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/notebook.py | null | 2,593 |
class NotebookTrainingTracker(NotebookProgressBar):
"""
An object tracking the updates of an ongoing training with progress bars and a nice table reporting metrics.
Args:
num_steps (`int`): The number of steps during training. column_names (`List[str]`, *optional*):
The list of column n... | class_definition | 8,265 | 11,522 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/notebook.py | null | 2,594 |
class NotebookProgressCallback(TrainerCallback):
"""
A [`TrainerCallback`] that displays the progress of training or evaluation, optimized for Jupyter Notebooks or
Google colab.
"""
def __init__(self):
self.training_tracker = None
self.prediction_bar = None
self._force_next_... | class_definition | 11,525 | 15,827 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/notebook.py | null | 2,595 |
class DummyObject(type):
"""
Metaclass for the dummy objects. Any class inheriting from it will return the ImportError generated by
`requires_backend` each time a user tries to access any method of that class.
"""
def __getattribute__(cls, key):
if key.startswith("_") and key != "_from_conf... | class_definition | 58,802 | 59,221 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/import_utils.py | null | 2,596 |
class _LazyModule(ModuleType):
"""
Module class that surfaces all objects but only performs associated imports when the objects are requested.
"""
# Very heavily inspired by optuna.integration._IntegrationModule
# https://github.com/optuna/optuna/blob/master/optuna/integration/__init__.py
def _... | class_definition | 59,460 | 64,598 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/import_utils.py | null | 2,597 |
class Placeholder(metaclass=DummyObject):
_backends = missing_backends
def __init__(self, *args, **kwargs):
requires_backends(self, missing_backends) | class_definition | 63,391 | 63,593 | 1 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/import_utils.py | _LazyModule | 2,598 |
class OptionalDependencyNotAvailable(BaseException):
"""Internally used error class for signalling an optional dependency was not found.""" | class_definition | 64,601 | 64,744 | 0 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/import_utils.py | null | 2,599 |
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