Deberta tf

docs/source/index.rst

@@ -343,7 +343,7 @@ Flax), PyTorch, and/or TensorFlow.
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
 |             DPR             |       ✅       |       ✅       |       ✅        |         ✅         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
-|           DeBERTa           |       ✅       |       ✅       |       ✅        |         ❌         |      ❌      |
+|           DeBERTa           |       ✅       |       ✅       |       ✅        |         ✅         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+
 |         DeBERTa-v2          |       ✅       |       ❌       |       ✅        |         ❌         |      ❌      |
 +-----------------------------+----------------+----------------+-----------------+--------------------+--------------+

docs/source/model_doc/deberta.rst

@@ -38,7 +38,8 @@ the training data performs consistently better on a wide range of NLP tasks, ach
 pre-trained models will be made publicly available at https://github.com/microsoft/DeBERTa.*
 
 
-This model was contributed by `DeBERTa <https://huggingface.co/DeBERTa>`__. The original code can be found `here
+This model was contributed by `DeBERTa <https://huggingface.co/DeBERTa>`__. This model TF 2.0 implementation was
+contributed by `kamalkraj <https://huggingface.co/kamalkraj>`__ . The original code can be found `here
 <https://github.com/microsoft/DeBERTa>`__.
 
 
@@ -103,3 +104,45 @@ DebertaForQuestionAnswering
 
 .. autoclass:: transformers.DebertaForQuestionAnswering
     :members: forward
+
+
+TFDebertaModel
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaModel
+    :members: call
+
+
+TFDebertaPreTrainedModel
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaPreTrainedModel
+    :members: call
+
+
+TFDebertaForMaskedLM
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaForMaskedLM
+    :members: call
+
+
+TFDebertaForSequenceClassification
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaForSequenceClassification
+    :members: call
+
+
+TFDebertaForTokenClassification
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaForTokenClassification
+    :members: call
+
+
+TFDebertaForQuestionAnswering
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: transformers.TFDebertaForQuestionAnswering
+    :members: call

src/transformers/__init__.py

@@ -1297,6 +1297,17 @@
             "TFCTRLPreTrainedModel",
         ]
     )
+    _import_structure["models.deberta"].extend(
+        [
+            "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
+            "TFDebertaForMaskedLM",
+            "TFDebertaForQuestionAnswering",
+            "TFDebertaForSequenceClassification",
+            "TFDebertaForTokenClassification",
+            "TFDebertaModel",
+            "TFDebertaPreTrainedModel",
+        ]
+    )
     _import_structure["models.distilbert"].extend(
         [
             "TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
@@ -2820,6 +2831,15 @@
             TFCTRLModel,
             TFCTRLPreTrainedModel,
         )
+        from .models.deberta import (
+            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
+            TFDebertaForMaskedLM,
+            TFDebertaForQuestionAnswering,
+            TFDebertaForSequenceClassification,
+            TFDebertaForTokenClassification,
+            TFDebertaModel,
+            TFDebertaPreTrainedModel,
+        )
         from .models.distilbert import (
             TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
             TFDistilBertForMaskedLM,

src/transformers/models/auto/modeling_tf_auto.py

@@ -29,6 +29,7 @@
 TF_MODEL_MAPPING_NAMES = OrderedDict(
     [
         # Base model mapping
+        ("deberta", "TFDebertaModel"),
         ("rembert", "TFRemBertModel"),
         ("roformer", "TFRoFormerModel"),
         ("convbert", "TFConvBertModel"),
@@ -144,6 +145,7 @@
 TF_MODEL_FOR_MASKED_LM_MAPPING_NAMES = OrderedDict(
     [
         # Model for Masked LM mapping
+        ("deberta", "TFDebertaForMaskedLM"),
         ("rembert", "TFRemBertForMaskedLM"),
         ("roformer", "TFRoFormerForMaskedLM"),
         ("convbert", "TFConvBertForMaskedLM"),
@@ -183,6 +185,7 @@
 TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = OrderedDict(
     [
         # Model for Sequence Classification mapping
+        ("deberta", "TFDebertaForSequenceClassification"),
         ("rembert", "TFRemBertForSequenceClassification"),
         ("roformer", "TFRoFormerForSequenceClassification"),
         ("convbert", "TFConvBertForSequenceClassification"),
@@ -211,6 +214,7 @@
 TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = OrderedDict(
     [
         # Model for Question Answering mapping
+        ("deberta", "TFDebertaForQuestionAnswering"),
         ("rembert", "TFRemBertForQuestionAnswering"),
         ("roformer", "TFRoFormerForQuestionAnswering"),
         ("convbert", "TFConvBertForQuestionAnswering"),
@@ -234,6 +238,7 @@
 TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = OrderedDict(
     [
         # Model for Token Classification mapping
+        ("deberta", "TFDebertaForTokenClassification"),
         ("rembert", "TFRemBertForTokenClassification"),
         ("roformer", "TFRoFormerForTokenClassification"),
         ("convbert", "TFConvBertForTokenClassification"),

src/transformers/models/deberta/__init__.py

@@ -18,7 +18,7 @@
 
 from typing import TYPE_CHECKING
 
-from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
+from ...file_utils import _LazyModule, is_tf_available, is_tokenizers_available, is_torch_available
 
 
 _import_structure = {
@@ -40,6 +40,17 @@
         "DebertaPreTrainedModel",
     ]
 
+if is_tf_available():
+    _import_structure["modeling_tf_deberta"] = [
+        "TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST",
+        "TFDebertaForMaskedLM",
+        "TFDebertaForQuestionAnswering",
+        "TFDebertaForSequenceClassification",
+        "TFDebertaForTokenClassification",
+        "TFDebertaModel",
+        "TFDebertaPreTrainedModel",
+    ]
+
 
 if TYPE_CHECKING:
     from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig
@@ -59,6 +70,18 @@
             DebertaPreTrainedModel,
         )
 
+    if is_tf_available():
+        from .modeling_tf_deberta import (
+            TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
+            TFDebertaForMaskedLM,
+            TFDebertaForQuestionAnswering,
+            TFDebertaForSequenceClassification,
+            TFDebertaForTokenClassification,
+            TFDebertaModel,
+            TFDebertaPreTrainedModel,
+        )
+
+
 else:
     import sys