added flax and tensorflow model

config.json

@@ -1,10 +1,11 @@
 {
-  "_name_or_path": "roberta-base",
+  "_name_or_path": "./",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
+  "classifier_dropout": null,
   "eos_token_id": 2,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
@@ -36,7 +37,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
-  "transformers_version": "4.7.0",
+  "transformers_version": "4.11.0.dev0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

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:d8d9c4de04e014b5bab9eeadc461b045b2a486bd709d74d5d4913692d62524ee
+size 498608205

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d220a4f6b3167f6de5649d5570267bce1780a9c7590f9fe31af8aa1e01580e5f
+size 498890624