Remove redundant secret_name parameter from HuggingFace deployer

The secret_name parameter was redundant since token is already a SecretField
that supports ZenML's secret reference syntax ({{secret.key}}).

Changes:
- Removed secret_name from HuggingFaceDeployerConfig
- Simplified _get_token() to just return config.token or environment variable
- Updated validator to only check for token (not token or secret_name)
- Updated documentation to show proper secret reference syntax: {{hf_token.token}}
- Removed unused Client import (auto-removed by formatter)

This simplifies the API and follows ZenML's standard pattern for secret handling.

Author: claude

docs/book/component-guide/deployers/huggingface.md

@@ -48,10 +48,10 @@ To use the Hugging Face deployer, you need:
 
 You need a Hugging Face access token with write permissions to deploy pipelines. You can create one at [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens).
 
-You have two different options to provide credentials to the Hugging Face deployer:
+You have two options to provide credentials to the Hugging Face deployer:
 
 * Pass the token directly when registering the deployer using the `--token` parameter
-* (recommended) Store the token in a ZenML secret and reference it using the `--secret_name` parameter
+* (recommended) Store the token in a ZenML secret and reference it using secret syntax
 
 ### Registering the deployer
 
@@ -67,7 +67,7 @@ zenml deployer register <DEPLOYER_NAME> \
 zenml secret create hf_token --token=<YOUR_HF_TOKEN>
 zenml deployer register <DEPLOYER_NAME> \
     --flavor=huggingface \
-    --secret_name=hf_token
+    --token='{{hf_token.token}}'
 ```
 
 ### Configuring the stack

src/zenml/integrations/huggingface/deployers/huggingface_deployer.py

@@ -27,7 +27,6 @@
     cast,
 )
 
-from zenml.client import Client
 from zenml.config.base_settings import BaseSettings
 from zenml.deployers.base_deployer import BaseDeployerSettings
 from zenml.deployers.containerized_deployer import ContainerizedDeployer
@@ -116,11 +115,12 @@ def _validate_requirements(
             Returns:
                 Tuple of (is_valid, message).
             """
-            # Check token or secret_name
-            if not (self.config.token or self.config.secret_name):
+            # Check token
+            if not self.config.token:
                 return False, (
-                    "The Hugging Face deployer requires either a token or "
-                    "secret_name to be configured."
+                    "The Hugging Face deployer requires a token to be "
+                    "configured. Use --token parameter with a direct token "
+                    "value or reference a ZenML secret with {{secret.key}} syntax."
                 )
 
             # Check container registry
@@ -141,17 +141,10 @@ def _get_token(self) -> Optional[str]:
         """Get the Hugging Face token.
 
         Returns:
-            The token from config, secret, or environment.
+            The token from config or environment. If config.token uses secret
+            reference syntax like {{secret.key}}, ZenML automatically resolves it.
         """
-        if self.config.token:
-            return self.config.token
-
-        if self.config.secret_name:
-            client = Client()
-            secret = client.get_secret(self.config.secret_name)
-            return secret.secret_values.get("token")
-
-        return os.environ.get("HF_TOKEN")
+        return self.config.token or os.environ.get("HF_TOKEN")
 
     def _get_hf_api(self) -> "HfApi":
         """Get the Hugging Face API client.

src/zenml/integrations/huggingface/flavors/huggingface_deployer_flavor.py

@@ -31,16 +31,15 @@ class HuggingFaceDeployerConfig(BaseDeployerConfig):
     """Configuration for the Hugging Face deployer.
 
     Attributes:
-        token: Hugging Face API token for authentication
-        secret_name: Name of ZenML secret containing the token
+        token: Hugging Face API token for authentication. Can be a direct token
+            value or a reference to a ZenML secret using {{secret_name.key}}
         organization: HF organization to deploy to (uses username if not set)
         space_hardware: Hardware tier (e.g., 'cpu-basic', 't4-small')
         space_storage: Persistent storage tier (e.g., 'small', 'medium', 'large')
         space_prefix: Prefix for Space names to organize deployments
     """
 
     token: Optional[str] = SecretField(default=None)
-    secret_name: Optional[str] = None
     organization: Optional[str] = None
     space_hardware: Optional[str] = None
     space_storage: Optional[str] = None