Fixed some typos and removed legacy url (#10989)

* Fixed typos

* Removed legacy colab notebook from readme

Co-authored-by: WybeKoper <WybeKoper@users.noreply.github.com>

examples/multiple-choice/README.md

@@ -129,6 +129,3 @@ python ./examples/multiple-choice/run_tf_multiple_choice.py \
 --gradient_accumulation_steps 2 \
 --overwrite_output
 ```
-
-# Run it in colab
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ViktorAlm/notebooks/blob/master/MPC_GPU_Demo_for_TF_and_PT.ipynb)

src/transformers/generation_utils.py

@@ -1302,10 +1302,10 @@ class GenerationMixin:
             # argmax
             next_tokens = torch.argmax(next_tokens_scores, dim=-1)
 
-            # add code that transfomers next_tokens to tokens_to_add
+            # add code that transforms next_tokens to tokens_to_add
             if eos_token_id is not None:
                 assert pad_token_id is not None, "If eos_token_id is defined, make sure that pad_token_id is defined."
-                next_tokens = next_tokens * unfinished_sequences + (pad_token_id) * (1 - unfinished_sequences)
+                next_tokens = next_tokens * unfinished_sequences + pad_token_id * (1 - unfinished_sequences)
 
             # add token and increase length by one
             input_ids = torch.cat([input_ids, next_tokens[:, None]], dim=-1)
@@ -1526,10 +1526,10 @@ class GenerationMixin:
 
             next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)
 
-            # add code that transfomers next_tokens to tokens_to_add
+            # add code that transforms next_tokens to tokens_to_add
             if eos_token_id is not None:
                 assert pad_token_id is not None, "If eos_token_id is defined, make sure that pad_token_id is defined."
-                next_tokens = next_tokens * unfinished_sequences + (pad_token_id) * (1 - unfinished_sequences)
+                next_tokens = next_tokens * unfinished_sequences + pad_token_id * (1 - unfinished_sequences)
 
             # add token and increase length by one
             input_ids = torch.cat([input_ids, next_tokens[:, None]], dim=-1)

src/transformers/models/xlm_prophetnet/tokenization_xlm_prophetnet.py

@@ -56,7 +56,7 @@ def load_vocab(vocab_file):
 
 class XLMProphetNetTokenizer(PreTrainedTokenizer):
     """
-    Adapted from :class:`~transfomers.RobertaTokenizer` and class:`~transfomers.XLNetTokenizer`. Based on
+    Adapted from :class:`~transformers.RobertaTokenizer` and class:`~transformers.XLNetTokenizer`. Based on
     `SentencePiece <https://github.com/google/sentencepiece>`__.
 
     This tokenizer inherits from :class:`~transformers.PreTrainedTokenizer` which contains most of the main methods.

src/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py

@@ -67,7 +67,7 @@ PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
 class XLMRobertaTokenizerFast(PreTrainedTokenizerFast):
     """
     Construct a "fast" XLM-RoBERTa tokenizer (backed by HuggingFace's `tokenizers` library). Adapted from
-    :class:`~transfomers.RobertaTokenizer` and class:`~transfomers.XLNetTokenizer`. Based on `BPE
+    :class:`~transformers.RobertaTokenizer` and class:`~transformers.XLNetTokenizer`. Based on `BPE
     <https://huggingface.co/docs/tokenizers/python/latest/components.html?highlight=BPE#models>`__.
 
     This tokenizer inherits from :class:`~transformers.PreTrainedTokenizerFast` which contains most of the main