fix typos

Author: narumiruna

cosmos1/models/autoregressive/tokenizer/discrete_video.py

@@ -20,7 +20,7 @@
 
 from cosmos1.models.autoregressive.tokenizer.quantizers import FSQuantizer
 
-# Make sure jit model output consistenly during consecutive calls
+# Make sure jit model output consistently during consecutive calls
 # Check here: https://github.com/pytorch/pytorch/issues/74534
 torch._C._jit_set_texpr_fuser_enabled(False)
 
@@ -34,7 +34,7 @@ def load_jit_model(jit_filepath: str = None, device: str = "cuda") -> torch.jit.
     Returns:
         The JIT compiled model loaded to device and on eval mode.
     """
-    # Make sure jit model output consistenly during consecutive calls
+    # Make sure jit model output consistently during consecutive calls
     # Check here: https://github.com/pytorch/pytorch/issues/74534
     torch._C._jit_set_texpr_fuser_enabled(False)
 

cosmos1/models/autoregressive/tokenizer/text_tokenizer.py

@@ -126,7 +126,7 @@ def encode(
             add_special_tokens (`bool`, *optional*, defaults to `True`):
                 Whether or not to add special tokens when encoding the sequences. This will use the underlying
                 `PretrainedTokenizerBase.build_inputs_with_special_tokens` function, which defines which tokens are
-                automatically added to the input ids. This is usefull if you want to add `bos` or `eos` tokens
+                automatically added to the input ids. This is useful if you want to add `bos` or `eos` tokens
                 automatically.
             padding (`bool`, `str`, *optional*, defaults to `False`):
                 Activates and controls padding. Accepts the following values: