added tensorflow and flax model

config.json

@@ -1,9 +1,10 @@
 {
-  "_name_or_path": "bert-base-uncased",
+  "_name_or_path": "./",
   "architectures": [
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
@@ -34,7 +35,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "transformers_version": "4.7.0",
+  "transformers_version": "4.11.0.dev0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

convert_flax_to_pytorch.py

@@ -0,0 +1,3 @@
+from transformers import AutoModelForSequenceClassification
+model = AutoModelForSequenceClassification.from_pretrained("./", from_flax=True)
+model.save_pretrained("./")

convert_pytorch_to_flax.py

@@ -0,0 +1,3 @@
+from transformers import FlaxAutoModelForSequenceClassification
+model = FlaxAutoModelForSequenceClassification.from_pretrained("./", from_pt=True)
+model.save_pretrained("./")

convert_pytorch_to_tensorflow.py

@@ -0,0 +1,3 @@
+from transformers import TFAutoModelForSequenceClassification
+model = TFAutoModelForSequenceClassification.from_pretrained("./", from_pt=True)
+model.save_pretrained("./")

flax_model.msgpack

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0ba97a0dc911aae90a970f4ff78819cec81f92668f91a2c1b7b3cf3902d73c1
+size 437954632

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c56e2c4da8a8eae545aa3f77abd782cba92814c5f4a54649d3ca5e6412d3a95d
+size 438235496