Migrate metric to Evaluate library for tensorflow examples (#18327)

* Migrate metric to Evaluate library in tf examples

Currently tensorflow examples use `load_metric` function from Datasets
library , commit migrates function call to `load` function to
Evaluate library.

Fix for #18306

* Migrate metric to Evaluate library in tf examples

Currently tensorflow examples use `load_metric` function from Datasets
library , commit migrates function call to `load` function to
Evaluate library.

Fix for #18306

* Migrate `metric` to Evaluate for all tf examples

Currently tensorflow examples use `load_metric` function from Datasets
library , commit migrates function call to `load` function to
Evaluate library.

examples/tensorflow/text-classification/requirements.txt

@@ -1,4 +1,5 @@
 datasets >= 1.1.3
 sentencepiece != 0.1.92
 protobuf
-tensorflow >= 2.3
+tensorflow >= 2.3
+evaluate >= 0.2.0

examples/tensorflow/text-classification/run_glue.py

@@ -24,8 +24,9 @@ from typing import Optional
 
 import numpy as np
 import tensorflow as tf
-from datasets import load_dataset, load_metric
+from datasets import load_dataset
 
+import evaluate
 import transformers
 from transformers import (
     AutoConfig,
@@ -366,7 +367,7 @@ def main():
     # endregion
 
     # region Metric function
-    metric = load_metric("glue", data_args.task_name)
+    metric = evaluate.load("glue", data_args.task_name)
 
     def compute_metrics(preds, label_ids):
         preds = preds["logits"]