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if revision is not None and not revision.startswith("refs/pr"):
try:
create_branch(repo_id=repo_id, branch=revision, token=token, exist_ok=True)
except HfHubHTTPError as e:
if e.response.status_code == 403 and create_pr:
# If we are creating a ... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
def push_to_hub(
self,
repo_id: str,
use_temp_dir: Optional[bool] = None,
commit_message: Optional[str] = None,
private: Optional[bool] = None,
token: Optional[Union[bool, str]] = None,
max_shard_size: Optional[Union[int, str]] = "5GB",
create_pr: bool = F... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
Parameters:
repo_id (`str`):
The name of the repository you want to push your {object} to. It should contain your organization name
when pushing to a given organization.
use_temp_dir (`bool`, *optional*):
Whether or not to use a temporary directory... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `huggingface-cli login` (stored in `~/.huggingface`). Will default to `True` if `repo_url`
is not specified.
max_shard_size (`int` or `str`, *optional*, defaul... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
Whether or not to convert the model weights in safetensors format for safer serialization.
revision (`str`, *optional*):
Branch to push the uploaded files to.
commit_description (`str`, *optional*):
The description of the commit that will be created
ta... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
Examples:
```python
from transformers import {object_class}
{object} = {object_class}.from_pretrained("google-bert/bert-base-cased")
# Push the {object} to your namespace with the name "my-finetuned-bert".
{object}.push_to_hub("my-finetuned-bert") | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
# Push the {object} to an organization with the name "my-finetuned-bert".
{object}.push_to_hub("huggingface/my-finetuned-bert")
```
"""
use_auth_token = deprecated_kwargs.pop("use_auth_token", None)
ignore_metadata_errors = deprecated_kwargs.pop("ignore_metadata_errors", False)
... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
repo_path_or_name = deprecated_kwargs.pop("repo_path_or_name", None)
if repo_path_or_name is not None:
# Should use `repo_id` instead of `repo_path_or_name`. When using `repo_path_or_name`, we try to infer
# repo_id from the folder path, if it exists.
warnings.warn(
... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
repo_id = repo_path_or_name
working_dir = repo_id.split("/")[-1]
else:
# Repo_id is passed correctly: infer working_dir from it
working_dir = repo_id.split("/")[-1] | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
# Deprecation warning will be sent after for repo_url and organization
repo_url = deprecated_kwargs.pop("repo_url", None)
organization = deprecated_kwargs.pop("organization", None)
repo_id = self._create_repo(
repo_id, private=private, token=token, repo_url=repo_url, organization=or... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
# Update model card if needed:
model_card.save(os.path.join(work_dir, "README.md"))
return self._upload_modified_files(
work_dir,
repo_id,
files_timestamps,
commit_message=commit_message,
token=token,
... | 2,470 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
class PushInProgress:
"""
Internal class to keep track of a push in progress (which might contain multiple `Future` jobs).
"""
def __init__(self, jobs: Optional[futures.Future] = None) -> None:
self.jobs = [] if jobs is None else jobs
def is_done(self):
return all(job.done() for jo... | 2,471 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/hub.py |
class ASTFeatureExtractor(metaclass=DummyObject):
_backends = ["speech"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["speech"]) | 2,472 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_speech_objects.py |
class Speech2TextFeatureExtractor(metaclass=DummyObject):
_backends = ["speech"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["speech"]) | 2,473 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_speech_objects.py |
class BaseImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,474 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class DeformableDetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,475 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class DetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,476 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class PixtralImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,477 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class RTDetrImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,478 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class ViTImageProcessorFast(metaclass=DummyObject):
_backends = ["torchvision"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["torchvision"]) | 2,479 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_torchvision_objects.py |
class BackboneType(enum.Enum):
TIMM = "timm"
TRANSFORMERS = "transformers" | 2,480 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
class BackboneMixin:
backbone_type: Optional[BackboneType] = None
def _init_timm_backbone(self, config) -> None:
"""
Initialize the backbone model from timm The backbone must already be loaded to self._backbone
"""
if getattr(self, "_backbone", None) is None:
raise V... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
# In some timm versions, out_indices reflects the input type of out_indices on the `create_model` call,
# in later versions >= 1, it is always a tuple
out_indices = list(self._backbone.feature_info.out_indices)
out_features = self._backbone.feature_info.module_name()
# We verify the out... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
self.stage_names = stage_names
self._out_features, self._out_indices = get_aligned_output_features_output_indices(
out_features=out_features, out_indices=out_indices, stage_names=stage_names
)
# Number of channels for each stage. This is set in the transformer backbone model init
... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
if self.backbone_type == BackboneType.TIMM:
self._init_timm_backbone(config)
elif self.backbone_type == BackboneType.TRANSFORMERS:
self._init_transformers_backbone(config)
else:
raise ValueError(f"backbone_type {self.backbone_type} not supported.")
@property
... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
@out_indices.setter
def out_indices(self, out_indices: Union[Tuple[int], List[int]]):
"""
Set the out_indices attribute. This will also update the out_features attribute to match the new out_indices.
"""
self._out_features, self._out_indices = get_aligned_output_features_output_indic... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
def forward_with_filtered_kwargs(self, *args, **kwargs):
signature = dict(inspect.signature(self.forward).parameters)
filtered_kwargs = {k: v for k, v in kwargs.items() if k in signature}
return self(*args, **filtered_kwargs)
def forward(
self,
pixel_values,
output_h... | 2,481 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
class BackboneConfigMixin:
"""
A Mixin to support handling the `out_features` and `out_indices` attributes for the backbone configurations.
"""
@property
def out_features(self):
return self._out_features
@out_features.setter
def out_features(self, out_features: List[str]):
... | 2,482 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
@out_indices.setter
def out_indices(self, out_indices: Union[Tuple[int], List[int]]):
"""
Set the out_indices attribute. This will also update the out_features attribute to match the new out_indices.
"""
self._out_features, self._out_indices = get_aligned_output_features_output_indic... | 2,482 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/backbone_utils.py |
class AlbertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,483 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BartTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,484 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BarthezTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,485 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,486 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BigBirdTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,487 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BlenderbotTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,488 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BlenderbotSmallTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,489 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class BloomTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,490 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CamembertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,491 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CLIPTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,492 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CodeLlamaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,493 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CodeGenTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,494 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CohereTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,495 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class ConvBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,496 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class CpmTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,497 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DebertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,498 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DebertaV2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,499 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class RealmTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,500 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class RetriBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,501 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DistilBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,502 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DPRContextEncoderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,503 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DPRQuestionEncoderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,504 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class DPRReaderTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,505 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class ElectraTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,506 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class FNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,507 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class FunnelTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,508 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class GemmaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,509 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class GPT2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,510 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class GPTNeoXTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,511 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class GPTNeoXJapaneseTokenizer(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,512 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class HerbertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,513 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LayoutLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,514 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LayoutLMv2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,515 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LayoutLMv3TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,516 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LayoutXLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,517 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LEDTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,518 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LlamaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,519 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LongformerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,520 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class LxmertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,521 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MarkupLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,522 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MBartTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,523 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MBart50TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,524 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MobileBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,525 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MPNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,526 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MT5TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,527 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class MvpTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,528 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class NllbTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,529 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class NougatTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,530 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class OpenAIGPTTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,531 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class PegasusTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,532 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class Qwen2TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,533 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class ReformerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,534 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class RemBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,535 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class RobertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,536 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class RoFormerTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,537 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class SeamlessM4TTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,538 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class SplinterTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,539 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class SqueezeBertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,540 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class T5TokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,541 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class UdopTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,542 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class WhisperTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,543 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class XGLMTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,544 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class XLMRobertaTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,545 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class XLNetTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,546 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class PreTrainedTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"]) | 2,547 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_tokenizers_objects.py |
class AlbertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,548 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
class BarthezTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,549 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
class BartphoTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,550 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
class BertGenerationTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,551 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
class BigBirdTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,552 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
class CamembertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"]) | 2,553 | /Users/nielsrogge/Documents/python_projecten/transformers/src/transformers/utils/dummy_sentencepiece_objects.py |
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