add onnx support for deberta and debertav2 (#17617)
* 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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@@ -58,6 +58,8 @@ Ready-made configurations include the following architectures:
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- ConvNeXT
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- Data2VecText
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- Data2VecVision
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- DeBERTa
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- DeBERTa-v2
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- DeiT
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- DistilBERT
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- ELECTRA
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