diff --git a/litellm/llms/huggingface_restapi.py b/litellm/llms/huggingface_restapi.py
index 2e4e218152..69715167bb 100644
--- a/litellm/llms/huggingface_restapi.py
+++ b/litellm/llms/huggingface_restapi.py
@@ -619,6 +619,8 @@ class Huggingface(BaseLLM):
 
             # SSL certificates (a.k.a CA bundle) used to verify the identity of requested hosts.
             ssl_verify = os.getenv("SSL_VERIFY", litellm.ssl_verify)
+            if ssl_verify in ["True", "False"]:
+                ssl_verify = bool(ssl_verify)
 
             if acompletion is True:
                 ### ASYNC STREAMING
@@ -634,7 +636,7 @@ class Huggingface(BaseLLM):
                     headers=headers,
                     data=json.dumps(data),
                     stream=optional_params["stream"],
-                    verify=ssl_verify
+                    verify=ssl_verify,
                 )
                 return response.iter_lines()
             ### SYNC COMPLETION
@@ -643,7 +645,7 @@ class Huggingface(BaseLLM):
                     completion_url,
                     headers=headers,
                     data=json.dumps(data),
-                    verify=ssl_verify
+                    verify=ssl_verify,
                 )
 
                 ## Some servers might return streaming responses even though stream was not set to true. (e.g. Baseten)
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 25168ec017..47c6aedc16 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -1768,7 +1768,7 @@ def test_get_hf_task_for_model():
 # ################### Hugging Face TGI models ########################
 # # TGI model
 # # this is a TGI model https://huggingface.co/glaiveai/glaive-coder-7b
-def tgi_mock_post(url, data=None, json=None, headers=None):
+def tgi_mock_post(url, **kwargs):
     mock_response = MagicMock()
     mock_response.status_code = 200
     mock_response.headers = {"Content-Type": "application/json"}
@@ -1936,7 +1936,7 @@ async def test_openai_compatible_custom_api_base(provider):
 # hf_test_completion_none_task()
 
 
-def mock_post(url, data=None, json=None, headers=None):
+def mock_post(url, **kwargs):
     print(f"url={url}")
     if "text-classification" in url:
         raise Exception("Model not found")