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Fixing requirements for TF LM models and use correct model mappings (#14372)

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* Fixing requirements for TF LM models and use correct model mappings

* make style
This commit is contained in:
Matt
2021-11-11 15:34:00 +00:00
committed by GitHub
parent 4c35c8d89c
commit 7f20bf0d43
3 changed files with 8 additions and 6 deletions
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6
examples/tensorflow/language-modeling/run_mlm.py
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@@ -45,8 +45,8 @@ import transformers
from transformers import (
CONFIG_MAPPING,
CONFIG_NAME,
MODEL_FOR_MASKED_LM_MAPPING,
TF2_WEIGHTS_NAME,
TF_MODEL_FOR_MASKED_LM_MAPPING,
AutoConfig,
AutoTokenizer,
HfArgumentParser,
@@ -59,8 +59,8 @@ from transformers.utils.versions import require_version
logger = logging.getLogger(__name__)
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
MODEL_CONFIG_CLASSES = list(MODEL_FOR_MASKED_LM_MAPPING.keys())
require_version("datasets>=1.8.0", "To fix: pip install -r examples/tensorflow/language-modeling/requirements.txt")
MODEL_CONFIG_CLASSES = list(TF_MODEL_FOR_MASKED_LM_MAPPING.keys())
MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)