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* add onnx support for debertav2 * debertav2 -> deberta-v2 in onnx features file * remove causal lm * add deberta-v2-xlarge to onnx tests * use self.type().dtype() in xsoftmax Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * remove hack for deberta * remove unused imports * Update src/transformers/models/deberta_v2/configuration_deberta_v2.py Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * use generate dummy inputs * linter * add imports * add support for deberta v1 as well * deberta does not support multiple choice * Update src/transformers/models/deberta/configuration_deberta.py Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * Update src/transformers/models/deberta_v2/configuration_deberta_v2.py Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * one line ordered dict * fire build Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> |
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| .. | ||
| benchmark | ||
| deepspeed | ||
| extended | ||
| fixtures | ||
| generation | ||
| models | ||
| onnx | ||
| optimization | ||
| pipelines | ||
| sagemaker | ||
| tokenization | ||
| trainer | ||
| utils | ||
| __init__.py | ||
| test_configuration_common.py | ||
| test_feature_extraction_common.py | ||
| test_modeling_common.py | ||
| test_modeling_flax_common.py | ||
| test_modeling_tf_common.py | ||
| test_sequence_feature_extraction_common.py | ||
| test_tokenization_common.py | ||