(docs) hf viewing log probs

docs/my-website/docs/providers/huggingface.md

@@ -139,6 +139,72 @@ os.environ["HUGGINGFACE_API_KEY"] = ""
 os.environ["HUGGINGFACE_API_BASE"] = "" 
 ```
 
+### Viewing Log probs
+
+#### Using `decoder_input_details` - OpenAI `echo`
+The `echo` param is supported by OpenAI Completions - Use `litellm.text_completion()` for this 
+```python
+from litellm import text_completion
+response = text_completion(
+    model="huggingface/bigcode/starcoder", 
+    prompt="good morning", 
+    max_tokens=10, logprobs=10,
+    echo=True
+)
+ ```
+
+#### Output
+ ```json
+{
+   "id":"chatcmpl-3fc71792-c442-4ba1-a611-19dd0ac371ad",
+   "object":"text_completion",
+   "created":1698801125.936519,
+   "model":"bigcode/starcoder",
+   "choices":[
+      {
+         "text":", I'm going to make you a sand",
+         "index":0,
+         "logprobs":{
+            "tokens":[
+               "good",
+               " morning",
+               ",",
+               " I",
+               "'m",
+               " going",
+               " to",
+               " make",
+               " you",
+               " a",
+               " s",
+               "and"
+            ],
+            "token_logprobs":[
+               "None",
+               -14.96875,
+               -2.2285156,
+               -2.734375,
+               -2.0957031,
+               -2.0917969,
+               -0.09429932,
+               -3.1132812,
+               -1.3203125,
+               -1.2304688,
+               -1.6201172,
+               -0.010292053
+            ]
+         },
+         "finish_reason":"length"
+      }
+   ],
+   "usage":{
+      "completion_tokens":9,
+      "prompt_tokens":2,
+      "total_tokens":11
+   }
+}
+```
+
 ### Models with Prompt Formatting
 For models with special prompt templates (e.g. Llama2), we format the prompt to fit their template.