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/translation/requirements.txt

@@ -0,0 +1,3 @@
+datasets >= 1.4.0
+tensorflow >= 2.3.0
+evaluate >= 0.2.0

examples/tensorflow/translation/run_translation.py

@@ -28,9 +28,10 @@ from typing import Optional
 import datasets
 import numpy as np
 import tensorflow as tf
-from datasets import load_dataset, load_metric
+from datasets import load_dataset
 from tqdm import tqdm
 
+import evaluate
 import transformers
 from transformers import (
     AutoConfig,
@@ -590,7 +591,7 @@ def main():
         # endregion
 
         # region Metric and postprocessing
-        metric = load_metric("sacrebleu")
+        metric = evaluate.load("sacrebleu")
 
         def postprocess_text(preds, labels):
             preds = [pred.strip() for pred in preds]