Fix typo, naming consistency

timm/models/helpers.py

@@ -170,7 +170,7 @@ def load_pretrained(model, default_cfg=None, num_classes=1000, in_chans=3, filte
         _logger.warning("No pretrained weights exist for this model. Using random initialization.")
         return
     if hf_hub_id and has_hf_hub(necessary=not pretrained_url):
-        _logger.info(f'Loading pretrained weights from huggingface hub ({hf_hub_id})')
+        _logger.info(f'Loading pretrained weights from Hugging Face hub ({hf_hub_id})')
         state_dict = load_state_dict_from_hf(hf_hub_id)
     else:
         _logger.info(f'Loading pretrained weights from url ({pretrained_url})')

timm/models/hub.py

@@ -56,13 +56,13 @@ def has_hf_hub(necessary=False):
     if hf_hub_url is None and necessary:
         # if no HF Hub module installed and it is necessary to continue, raise error
         raise RuntimeError(
-            'HuggignFace Hub model specified but package not installed. Run `pip install huggingface_hub`.')
+            'Hugging Face hub model specified but package not installed. Run `pip install huggingface_hub`.')
     return hf_hub_url is not None
 
 
 def hf_split(hf_id):
     rev_split = hf_id.split('#')
-    assert 0 < len(rev_split) <= 2, 'HuggingFace HUB identifier should only contain on # character to identify revision.'
+    assert 0 < len(rev_split) <= 2, 'hf_hub id should only contain one # character to identify revision.'
     hf_model_id = rev_split[0]
     hf_revision = rev_split[-1] if len(rev_split) > 1 else None
     return hf_model_id, hf_revision