[Docs] Fix spelling and grammar mistakes (#28825)

* Fix typos and grammar mistakes in docs and examples

* Fix typos in docstrings and comments

* Fix spelling of `tokenizer` in model tests

* Remove erroneous spaces in decorators

* Remove extra spaces in Markdown link texts

tests/models/byt5/test_tokenization_byt5.py

@@ -166,7 +166,7 @@ class ByT5TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         self.assertEqual(expected_src_tokens, batch["input_ids"][0])
         self.assertEqual(expected_tgt_tokens, batch["labels"][0])
 
-    # cannot use default save_and_load_tokenzier test method because tokenzier has no vocab
+    # cannot use default save_and_load_tokenizer test method because tokenizer has no vocab
     def test_save_and_load_tokenizer(self):
         # safety check on max_len default value so we are sure the test works
         tokenizers = self.get_tokenizers()

tests/models/canine/test_tokenization_canine.py

@@ -82,7 +82,7 @@ class CanineTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         )
         self.assertEqual(32, targets["input_ids"].shape[1])
 
-    # cannot use default save_and_load_tokenzier test method because tokenzier has no vocab
+    # cannot use default save_and_load_tokenizer test method because tokenizer has no vocab
     def test_save_and_load_tokenizer(self):
         # safety check on max_len default value so we are sure the test works
         tokenizers = self.get_tokenizers()

tests/models/code_llama/test_tokenization_code_llama.py

@@ -367,10 +367,10 @@ class LlamaIntegrationTest(unittest.TestCase):
         fast = fast_tokenizer.encode("A sample test", add_special_tokens=True)
         assert fast == [319, 4559, 1243, 2]
 
-        slow_tokenzier = CodeLlamaTokenizer.from_pretrained(
+        slow_tokenizer = CodeLlamaTokenizer.from_pretrained(
             "hf-internal-testing/llama-tokenizer", add_eos_token=True, add_bos_token=False
         )
-        slow = slow_tokenzier.encode("A sample test", add_special_tokens=True)
+        slow = slow_tokenizer.encode("A sample test", add_special_tokens=True)
         assert slow == [319, 4559, 1243, 2]
 
         self.tokenizer.add_eos_token = False

tests/models/llama/test_tokenization_llama.py

@@ -360,10 +360,10 @@ class LlamaIntegrationTest(unittest.TestCase):
         fast = fast_tokenizer.encode("A sample test", add_special_tokens=True)
         assert fast == [319, 4559, 1243, 2]
 
-        slow_tokenzier = LlamaTokenizer.from_pretrained(
+        slow_tokenizer = LlamaTokenizer.from_pretrained(
             "hf-internal-testing/llama-tokenizer", add_eos_token=True, add_bos_token=False
         )
-        slow = slow_tokenzier.encode("A sample test", add_special_tokens=True)
+        slow = slow_tokenizer.encode("A sample test", add_special_tokens=True)
         assert slow == [319, 4559, 1243, 2]
 
         self.tokenizer.add_eos_token = False

tests/models/perceiver/test_tokenization_perceiver.py

@@ -148,7 +148,7 @@ class PerceiverTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
         )
         self.assertEqual(32, targets["input_ids"].shape[1])
 
-    # cannot use default save_and_load_tokenzier test method because tokenzier has no vocab
+    # cannot use default save_and_load_tokenizer test method because tokenizer has no vocab
     def test_save_and_load_tokenizer(self):
         # safety check on max_len default value so we are sure the test works
         tokenizers = self.get_tokenizers()

tests/models/qwen2/test_tokenization_qwen2.py

@@ -158,7 +158,7 @@ class Qwen2TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
             self.assertEqual(tokenizer_output_string, output_string)
 
     def test_slow_tokenizer_decode_spaces_between_special_tokens_default(self):
-        # Qwen2Tokenzier changes the default `spaces_between_special_tokens` in `decode` to False
+        # Qwen2Tokenizer changes the default `spaces_between_special_tokens` in `decode` to False
         if not self.test_slow_tokenizer:
             return